EDUCORP 8/Educorp2Compilation.sit/educorp2/Demos/Lionheart Press/LionHart

Text File | 1989-06-08 | 97.8 KB | 2,812 lines

LIONHEART PRESS, INC.

STATISTICAL & MANAGEMENT SOFTWARE FOR BUSINESS,
TECHNOLOGY, & SCIENCE


Professional Series:

EXPERIMENTAL STATISTICS
BUSINESS STATISTICS
MARKETING STATISTICS
EXPLORATORY DATA ANALYSIS
FORECASTING AND TIME-SERIES
SALES AND MARKET FORECASTING
QUALITY CONTROL & INDUSTRIAL EXPERIMENTS
PROJECT PLANNING (PERT & CPM)
DECISION ANALYSIS TECHNIQUES
ECONOMETRICS
OPTIMIZATION
SIMULATIONS
BIOMETRICS

Technical Series:

ANOVA
INFERENCE
REGRESSION
CLUSTER ANALYSIS
MULTIVARIATE ANALYSIS
LINEAR & NON-LINEAR PROGRAMMING
PARAMETER & TOLERANCE DESIGN
DECISION TREES & TABLES
MATRIX OPERATIONS
ARIMA METHODS
INVENTORY

Databases:

GNP DATA
FINANCIAL & ECONOMIC
INTERNATIONAL DATA
ZIP CODE DIRECTORY
COUNTY & CITY
COUNTY BUSINESS
COUNTY DEMOGRAPHIC
GOVERNMENT ADDRESSES
HEALTH PROFESSION
PRESCRIPTION DRUGS
FOODS & NUTRITION
HOSPITAL & HEALTH FACILITIES


Lionheart Press, Inc., PO Box 379, Alburg, VT, 05440

Tel: [phone]
FAX: [phone]

Dear Customer,

Thank  you for your inquiry about Lionheart software for personal
computers.  The  descriptions in this brochure should give you  a
reasonably  clear idea of the scope and quality of our  products.
If you need more information, please call. Similarly, if you have
a need for programs not in our list,  please let us know;  we are
continually adding to the program set in response to the needs of
our customers.

The purpose of this note is to assure you of Lionheart's interest
in  your  personal  requirements.  We like  to  treat  people  as
individuals (not as statistics!) and will be very glad to welcome
you  to the growing and world-wide list of satisfied customers of
Lionheart Press.

Index of Titles

ANOVA
ARIMA METHODS
BIOMETRICS
BUSINESS STATISTICS
CLUSTER ANALYSIS
DECISION ANALYSIS TECHNIQUES
DECISION TREES AND TABLES
ECONOMETRICS
EXPERIMENTAL STATISTICS
EXPLORATORY DATA ANALYSIS
FORECASTING AND TIME-SERIES
INFERENCE
INVENTORY
LINEAR & NON-LINEAR PROGRAMMING
MARKETING STATISTICS
MATRIX OPERATIONS
MULTIVARIATE ANALYSIS
OPTIMIZATION
PARAMETER AND TOLERANCE DESIGN
PROJECT PLANNING (PERT & CPM)
QUALITY CONTROL & INDUSTRIAL EXPERIMENTS
REGRESSION
SALES & MARKET FORECASTING
SIMULATIONS

DATABASES

DESCRIPTIONS OF PROGRAMS

HOW TO USE THIS BROCHURE

The various software titles published by Lionheart Press are
given on the front cover of this brochure; the price
list is inside the front cover. Descriptions of the titles and their
program sets are given by title alphabetically; descriptions of
individual programs are given in the last section of the
brochure.

Since the program set is comprised of a large number of
computer programs, the descriptions of individual programs are
rather brief. If you need more detail about individual programs,
please call or write. We are very willing to give more detail and
to base our guarantee/warranty on that detail.


CONTENTS OF THE PACKAGES

A title or a package consists of a book or manual
in 5.5" by 8.5" looseleaf form, with a three-ring binder, a
manual of general instructions, a manual of specific program
instructions, and one or more floppy disks.

The Professional Series of titles is intended for people who
wish to use sophisticated computing techniques but who do not
wish to take time off to get one or more Ph.D.'s in the subjects
involved. They are provided with books (as well as program
instructions) which describe the concepts involved in the
programs. The actual use of a program is generally very simple;
however, it is of essential importance that the user can choose
the right program for his application. It is possible to learn
the subjects with the help of the books and the references given
in the book. The main thing required of the user is a willingness
to learn and to make the effort to learn. Many of the books are
very comprehensive; the titles Experimental Statistics
and Quality Control, for example, each have about 170pp
of text.

The Technical Series of titles is aimed at people who
have had some prior instruction in the subjects. Thus a title
such as Multivariate Analysis is comprised of a short
book or manual, program instructions, and the programs
themselves. The programs are easy enough to use, but the topic is
sufficiently complicated that some previous knowledge of the
subject is probably necessary for effective use of the programs.
All of the titles are provided with references for those
customers who wish to learn in more detail about the particular
subject.

Databases are comprised of comma delimited ASCII
data files suitable for entry into spreadsheets or into Lionheart
programs. The data are obtained from collections published by the
United States Department of Commerce, by the Census Bureau, and
by various professional organizations. The data coverage is very
comprehensive; for example, the Prescription Drugs
database contains data on over 30,000 different drugs and
consists of 12 diskettes.


PROGRAM STRUCTURE

A great effort has been put into making simple and
convenient the process of data handling and data entry. Data
entry and manipulation is separated from the process of
calculation, with a few exceptions, and data files are always
saved to disk for further manipulation and handling. Most titles
are supplied with a set of transfer programs which allow the
transfer of data to and from spreadsheet programs. Special data
transfer requirements are undertaken by Lionheart, with no or
little charge, in response to special requests of customers.

The calculation programs are set up to call previously entered
and corrected data files. Prompts ask you the name of the file,
the number of data points in the file, and perhaps one or two
options associated with the calculation. Subsequent to the
calculation, prompts will ask you whether or not a printout is
wanted and so forth. The effort required by the user to make a
calculation is minimal; the main thing is to know which
calculation to make.


DATA FILE STRUCTURE AND DATA TRANSFER

All Lionheart programs use ASCII data files which can be
examined by a word processor as well as by the data processing
programs which are part of the Lionheart collections. We also
publish code segments in BASIC which show how the various
files are created or called. Transferring data files into or out
of Lionheart programs is a matter of extreme simplicity.

Most Lionheart packages contain a set of data transfer programs
which allow easy transfer of files to and from spreadsheet
programs.


GRAPHICS

Most Lionheart packages are provided with graphics routines which
can plot things like histograms, bar charts, and graphs; three-
dimensional graphics is also included. Color graphics may or may
not be available depending on the computer type. In general the contents
and capabilities of the graphics programs is device dependent.

To facilitate the use of the presentation graphics available in
most spreadsheet programs, conversion programs are provided by us
so that data files created by Lionheart programs can be
transferred without difficulty to spreadsheet programs such as
MULTIPLAN, LOTUS, JAZZ, CHART, and dBASE III.

If you have a graphics program and encounter difficulty entering
Lionheart data into it, let us know and we'll provide an
appropriate interface routine (without charge).


USER INTERFACE & TECHNICAL RESTRICTIONS

Relatively little use is made of special user interfaces specific to
individual types of computers. If a special user interface is used when it
tends to facilitate a calculation or the understanding of the principles
behind the calculation, otherwise it is not used. The principle
difficulty with the user interface routines is that they consume
a great deal of code and hence reduce the RAM available for a calculation.
The various programs have dynamically dimensioned arrays and will
accept whatever RAM is present in the computer. No special hardware
requirements are needed.

The disks are not copy-protected and can be transferred to and
operated from a hard disk.


WARRANTY/GUARANTEE

Lionheart software is guaranteed to be free of defects in
manufacture. Should such a defect be found, at any time, the disk
or disks will be replaced without charge.

Free upgrades are provided to registered users for six months
after the date of purchase. After that time, upgrades can be
purchased at nominal cost.

Program specifications can be obtained in detail. The basic
guarantee on performance is that the programs will operate as
specified.

Software is not returnable without prior agreement. Lionheart
provides an absolute money-back guarantee in two cases: (a) if
the disks are somehow incompatible with your computer, and (b) if
the programs do not perform as we specify and we can not make
them perform on your computer.

Customers who sign the registration slip (which entitles them to
substantial subsequent benefits) must promise to avoid un-
authorized copying.

Disks which are damaged for any reason can be replaced at nominal
cost at any time. If you have two computers of different format,
a second set of disks can be bought at nominal cost.


ORDERING INFORMATION

Please specify:

(a) the type of computer you are using
(b) whether the disk drives are single-sided or double-sided

A disk conversion charge may be applicable if you wish to have
the programs on a non-standard disk format. Please inquire if you
are in any doubt.


The price list is inside the front cover of this brochure.

ANOVA

(ISBN 0-920387-01-2)

This package is comprised of a complete set of analysis
of variance algorithms for the following experimental types; replicated
factorials (one-, two-, and three-way), unbalanced factorials, nested
factorials, repeated measures, randomized block experiments (with and without
a covariate), balanced incomplete blocks, Latin, Greek, and Youden squares,
2^k factorials (full, blocked, and fractional), response surface designs,
Plackett-Burman experiments and orthogonal arrays. Analysis of covariance is
also included. The Duncan multiple range test is used for the comparison of
means.

TABLE OF CONTENTS

Chapter 1 - STATISTICAL IDEAS

1.1 - Sampling Distributions
1.2 - Random and Normal Distributions
1.3 - Using Statistics to Draw Conclusions
1.4 - Errors in Statistics

Chapter 2 - THE IDEA OF EXPERIMENTS

2.1 - Factors and Variables
2.2 - Experiments as Samples
2.3 - Random Variability and Real Variability

Chapter 3 - ANALYSIS OF VARIANCE

3.1 - Statistical Models
3.2 - Partitioning of Variables
3.3 - Structure of Results

Chapter 4 - DESIGN OF EXPERIMENTS

4.1 - Randomization and Replication
4.2 Factorial Experiments
4.3 - Restrictions on Randomization

Chapter 5 - TYPES OF EXPERIMENTS

Program Set:

Analysis of Variance: 1ANOVA, 2ANOVA, 3ANOVA, 1XANOVA,
2XANOVA, 1REPEAT, 2REPEAT, 2NESTED, 3NESTED, EDIT,
ARRAY,  ORTHOGNL,  2KFACTOR, BLOCFACT, FRACFACT, 2RSANOVA, 3RSANOVA,
4RSANOVA,  DUNCAN,  BIBLOCK, BLKANOVA, BLKCOVAR, COVARIAT, LATIN,
GREEK, YOUDEN.

File Transfer: READFILE, TRANSFER, DIFTRANS, WRITEDIF, WRITEDBF,
JAZZ, MULTIPLN.

Graphics and Utilities: GRAPH, 3DPLOT, BARCHART, HCHART.

ARIMA METHODS

(ISBN 0-920387-84-5)

This set of programs contains the essential elements for
the  Box-Jenkins  analysis of time-series.  The data entry program allows  the
transformation and differencing of time-series.  Time-series analysis programs
calculate  the  coefficients  of  correlation  suitable  for  the  drawing  of
correlograms.  Autoregression  analysis  is provided along with a  program  to
evaluate the significance of the Durbin-Watson statistic.  The  Cochran-Orcutt
correction  is provided for series with serial correlation of  residuals.  Two
independent  Box-Jenkins  programs  are included;  an ARIMA(3,0,2)  model  for
stationary  time-series,  and a three-parameter model which can  handle  time-
series  with trends.  A number of time-series example are included with worked
solutions.

Program Set:

Data Entry and Analysis: TSDATA, PERIOD, CORRLATE, FFT.

Forecasting: AUTOREGA, ARIMA, BJFCAST, ORCUTT, KALMAN.

File Transfer:  READFILE,  TRANSFER,  DIFTRANS, WRITEDIF,
WRITEDBF, JAZZ, MULTIPLN.

Graphics and Utilities: GRAPH, 3DPLOT, BARCHART, HCHART.


BIOMETRICS

(ISBN 0-920387-26-8)

Biometrics is intended to serve the needs of
people engaged in the biological and life sciences. The program set covers the
materials in the well-known references Biostatistical
Analysis by J.H. Zar and Biometry by R.R. Sokal and F.
James Rohlf with a few exceptions and considerable additions. For descriptive
statistics various EDA techniques are adapted, including stem-and-leaf
displays, boxplots, coded tables; standard techniques such as histograms,
simple data entry and t-test analysis are also provided. Statistical
distributions and statistical inference are covered in detail as is hypothesis
testing (parametric and non-parametric). A set of programs for the analysis of
variance of experiments is included; factorials with replications, unbalanced
factorials, nested designs, repeated measures. Data analysis for experiments
includes the Duncan multiple range test. Multilinear regression and
correlation analysis includes factor and principal component analysis and the
'partial components' analysis to study the relative influence of variables in
the regression process. For the purposes of classification, cluster analysis
programs are included. The title contains a full set of file transfer programs
which allow the easy transfer of data to and from popular spreadsheets.
There is a major overlap between the texts of BIOMETRICS and
EXPERIMENTAL STATISTICS; the program sets are somewhat different.

TABLE OF CONTENTS

Chapter 1 - ERRORS AND EXPERIMENTS

1.1 - Introduction
1.2 - Types of Errors
1.3 - Experimental Situations
1.4 - Uncertainties and Their Propagation
1.5 - Improving Precision by Experimental Arrangement

Chapter 2 - DISTRIBUTIONS OF ERRORS

2.1 - Randomness and Distributions of Random Numbers
2.2 - The Normal Distribution
2.3 - The Application of the Normal Distribution
2.4 - Using the Normal Distribution
2.5 - Sample Distributions
2.6 - Examining a Distribution for Normality
2.7 - Examples

Chapter 3 - HYPOTHESIS TESTS

3.1 - General Procedure
3.2 - One-Tailed and Two-Tailed Tests
3.3 - Tests on Means - Population Variance Known
3.4 - Tests on Means - Population Variance Unknown
3.5 - Tests on Variances
3.6 - Errors of the Second Kind
3.7 - Confidence Intervals
3.8 - Miscellaneous Significance Tests
3.9 - Examples

Chapter 4 - THE VARIABILITY OF EXPERIMENTAL DATA

4.1 - An Example
4.2 - Replication and Randomization
4.3 - Factorial Experiments
4.4 - Statistical Models
4.5 - Hypothesis Tests in Analysis of Variance
4.6 - Miscellaneous Techniques used with the Analysis
of Variance
4.7 - Examples

Chapter 5 - REGRESSION

5.1 - A Note on Terminology
5.2 - Simple Linear Regression
5.3 - Multilinear Regression
5.4 - Orthogonal Polynomials
5.5 - Examples

Chapter 6 - DESIGN OF EXPERIMENTS

6.1 - Introduction
6.2 - The Effects of Restrictions on Randomization
6.3 - Randomized Block Experiments
6.4 - Latin Squares and Graeco-Latin Squares
6.5 - Fractional Factorial Experiments
6.6 - General Classifications of Experiments
6.7 - The Deliberate Introduction of Systematic Error
6.8 - Examples

GLOSSARY OF TERMS

Appendix A - The Normal or Gaussian Distribution
Appendix B - The t-Distribution
Appendix C - The Chi-Square Distribution
Appendix D - The F-Distribution
Appendix E - Errors of the Second Kind
Appendix F - The Number of Observations Needed in an Experiment
Appendix G - The Handling of Outliers

Index

Program Set:

Data Entry and Tabulation: DATA, TABULATE, MVDATA,
WREGDATA, TSDATA, MVPRINT, PRINTAB.

Distributions, Inference, and Sampling: DIST, INVDIST, NONCDIST,
NONPARAM, HYPOTEST, RANKCORR, CONTINGE, SMPLSIZE.

Regression: WREG, MVREG, MVREGA, MREG,
ORTHOREG, TESTORTH, REGGEN.

Sensitivity Analysis: KARBER, UP&DOWN, PROBIT, LOGIT.

Correlation and Cluster Analysis: FACTOR, PARTPART, PRINCOMP,
MTXINPUT, SUMOFSQR, ROTATE, MULTCORR, TRANSFRM.

Analysis of variance:
1ANOVA, 2ANOVA, 3ANOVA, 1XANOVA, 2XANOVA, 1REPEAT, 2REPEAT, 2NESTED, 3NESTED,
DUNCAN, BIBLOCK, BLKANOVA, BLKCOVAR, COVARIAT, DUNCAN.

File Transfer: READFILE, TRANSFER, DIFTRANS, WRITEDIF, WRITEDBF,
JAZZ, MULTIPLN.

Graphics and Utilities: GRAPH, CONDPLOT, ROOTGRAM,
SORT, STEMLEAF, CODEDTBL, BOXPLOT, 3DPLOT, BARCHART, HCHART.



BUSINESS STATISTICS

(ISBN  0-920387-10-1)

This package contains the statistical tools likely to be
of use in a business setting. The coverage is similar to that of
Experimental Statistics but less emphasis is placed on the variety of
design of experiments and analysis of variance; instead a concentration is
made on those types of experiments which are most applicable in a business
ambience (2^k factorials, fractional factorials, blocked factorials). Sampling
procedures are given special attention, and sections on quality control and
system reliability are included. A section on forecasting techniques is
provided, with examples of time-series.

A collection of statistical techniques that are useful in business:
sampling (including acceptance sampling), how to characterize
performance by comparison to some standard mean or variance, quality
control and product reliability, regression techniques, forecasting,
significance testing (parametric and non-parametric), how to design
"business experiments". Many numerical examples to illustrate the
ideas and the programs.

TABLE OF CONTENTS

Chapter 1 - ESTIMATION

1.1 - Sampling Distributions
(a) Simple Sampling
(b) Stratified Sampling
(c) Cluster Sampling
1.2 - Point Estimators
1.3 - Interval Estimators
(a) Mean When Variance Known
(b) On Mean When Variance Unknown
(c) On Sample Variance
(d) On the Ratio of Two Variances
(e) On the Population Proportion

Chapter 2 - STATISTICAL TESTING

2.1 - The Procedure of Hypothesis Testing
2.2 - Tests on Means
(a) Population Variance Known, One Sample
(b) Population Variance Known, Two Samples
(c) Population Variance Unknown, One Samples
(d) Population Variance Unknown, Two Samples
2.3 - Tests On Variances
(e) Population Variance Known
(f) Population Variance Unknown
2.4 - Miscellaneous Tests
(a) t Test on Paired Observations
(b) Chi-Square Test for Goodness of Fit
(c) Hypotheses on Binomial Parameters
(d) Sample Size for Sampling Without
Replacement from a Finite Population
2.5 - Contingency Tables
2.6 - Non-Parametric Tests
(a) The Sign Test
(b) The Runs Test
(c) The Mann-Whitney Test
(d) The Wilcoxon Test
2.7 - Testing By Sequential Sampling
(a) Wald's Method of Sequential Sampling
(b) Gambler's Ruin

Chapter 3 - REGRESSION

3.1 - Simple Linear Regression
3.2 - Multilinear Regression
3.3 - The Use of Orthogonal Polynomials

Chapter 4 - DESIGN OF EXPERIMENTS

4.1 - The Idea of Experiment
4.2 - Randomization and Replication
4.3 - Statistical Models
4.4 - Factorial Experiments
4.5 - Restrictions on Randomization
4.6 - Response Surface Experiments
4.7 - Covariance

Chapter 5 - FORECASTING

5.1 - The Nature of Time-Series
5.2 - Autoregression, Correlation, Moving Averages
5.3 - Seasonality and Trends
5.4 - Forecasting Techniques

Chapter 6 - QUALITY CONTROL, SAMPLING, RELIABILITY

6.1 - Quality Control Techniques
(a) Control Charts for Measurements
(b) Control Charts for Samples
(c) Control Charts for Attributes
(d) CUSUM Charts
(e) Control Schemes
6.2 - Acceptance Sampling
(a) Single Sampling Plan
(b) Double Sampling Plan
(c) Sequential Sampling
6.3 - Reliability
6.4 - Active and Standby Redundancy

Appendix 1 - Statistical Distributions
Appendix 2 - Normalizing Transformations
Appendix 3 - Finding the Size of a Sample
Appendix 4 - Factorials as Screening Experiments

Glossary
List of Examples and Cases

Program set:

Data Entry and Tabulation: DATA, TABULATE, MVDATA,
WREGDATA, TSDATA, MVPRINT, PRINTAB.

Distributions, Inference, and Sampling: BDIST, DIST, INVDIST, NONCDIST, NONPARAM, HYPOTEST,
RANKCORR, CONTINGE, SAMPLE, SMPLSIZE.

Regression: WREG, MVREG, ORTHOREG, TESTORTH,
REGGEN.

Quality Control and
Reliability: CONTROL, RELIABLE.

Analysis of variance: 2KFACTOR,
BLOCFACT, FRACFACT.

Time-Series Analysis and Forecasting: PERIOD,
MAVFCAST, EXPFCAST, AUTOREGA, REGFCAST, TREND, POLYREG, TESTPOLY,
NORMLIZE.

File Transfer: READFILE, TRANSFER, DIFTRANS, WRITEDIF,
WRITEDBF, JAZZ, MULTIPLN.

Graphics and Utilities: GRAPH, 3DPLOT, BARCHART, HCHART, CONDPLOT, ROOTGRAM,
SORT, SMOOTH, TNUMBER.



CLUSTER ANALYSIS

(ISBN 0-920387-76-4)

This title contains a collection of all the major cluster
analysis algorithms. Data entry programs allow the entry of data directly or
the transfer of data from (and to) popular spreadsheets; scaling of metric
data is provided. Cluster analysis programs include procedures based on
arbitrary clustering criteria, sums-of-squares of distance criteria, H-means
and K-means, criteria involving invariants, W-means, the multiple-location
allocation problem, the sum of absolute distance criterion, divisive
and agglomerative procedures, and some miscellaneous procedures such as the
bond energy criterion technique. Appropriate programs provide results for the
plotting of dendograms; a dendogram plotting program is also provided.

Program Set:

Data Entry and Transformation: MTXINPUT, MTXPRINT, TABULATE,
PRINTAB, TRANSFRM.

Cluster Analysis: K-MEANS, BONDERG, DIVIDE, NVARIANT, PARTPART,
PROFILE, ALLOCATE, SUMOFSQR, AGGLOM.

File Transfers: READFILE, TRANSFER, DIFTRANS, WRITEDIF,
WRITEDBF, JAZZ, MULTIPLN.

Graphics and Utilities: TREELINE, GRAPH, CONDPLOT.



DECISION ANALYSIS TECHNIQUES

(ISBN 0-920387-16-0)

Decision analysis is a new topic which is gradually
working its way into business, jurisprudence, the military, and various other
fields where decision must be reached in terms of incomplete and sometimes
conflicting information. The book covers the major reaches of decision theory;
the assistance of samples and experiments, the use of modeling and
simulation, goal programming and mathematical programming, decisions under
uncertainty and risk (involving the use of utility analysis and Bayesian
probability theory), decision tables and decision trees, group decision
making, and the ELECTRE technique which allows the balancing of
concordance and discordance in the subjective or objective evaluation people
or situations. Although the techniques themselves are easy enough to use, the
ideas and procedures are highly sophisticated and involve the "next level" of
statistical assistance to decision making.

The book and programs give the modern techniques developed to aid in
the process of decision making. Decision making techniques described
include decision by statistical sampling, by experiment, by
mathematical programming, and by utility analysis. Multi-objective
decision making, decision tables, and decision trees are described, as
is the use of Bayesian probability theory. Something new is the
application of ELECTRE techniques to the decision making
process.

TABLE OF CONTENTS

Chapter 1 - THE ASSISTANCE OF SAMPLES AND EXPERIMENTS

1.1 - The Purpose of a Sample
1.2 - Sampling Distributions
1.3 - Hypothesis Tests
1.4 - Sampling Procedures
1.5 - The Purpose of Experiment
1.6 - Types of Experiment
1.7 - The Interpretation of Experimental Results

Chapter 2 - MODELING AND SIMULATION

2.1 - Probabilistic Models
2.2 - Deterministic Models
2.3 - Simulation
2.4 - Simulation "Experiments"
2.5 - Forecasting as Modeling or Simulation

Chapter 3 - DECISIONS UNDER UNCERTAINTY AND RISK

3.1 - Certainty, Uncertainty, Risk, and Conflict
3.2 - Decisions Under Certainty
3.3 - Decisions Under Uncertainty
3.4 - Utility
3.5 - The Value of Information

Chapter 4 - GROUP DECISION MAKING

4.1 - The General Problem
4.2 - Utility Models
4.3 - Group Utility Assessment
4.4 - The Delphi Technique
4.5 - Other Techniques

Chapter 5 - MULTI-OBJECTIVE DECISION ANALYSIS

5.1 - The Use of Goal Programming
5.2 - Prior Statements of Preferences
5.3 - Progressive Statements of Preferences
5.4 - Stochastic Methods

Chapter 6 - ELECTRE

6.1 - Multiple Criteria of Evaluation
6.2 - Concordance and Discordance
6.3 - The ELECTRE Technique

Appendix 1 - Common Hypothesis Tests
Appendix 2 - Contingency Tests
Appendix 3 - Bayesian Probability
Appendix 4 - Decision Trees

Program Set:

Data Entry: MVDATA, MVPRINT.

Distributions, and Inference: DIST, HYPOTEST.

Regression: MVREG, REGGEN.

Analysis of variance:
EDIT, ARRAY, ORTHOGNL, 2RSANOVA, 3RSANOVA, 4RSANOVA.

Mathematical programming: SIMPLEX, LINEAR, GOAL.

Decision Topics: ELECTRE, DTABLE, DTREE, TREE, BAYES,
UTILITY.

File Transfers: READFILE, TRANSFER, DIFTRANS, WRITEDIF,
WRITEDBF, JAZZ, MULTIPLN.

Graphics and Utilities: GRAPH, CONDPLOT, BARCHART, HCHART.



DECISION TREES AND TABLES

(ISBN 0-920387-03-9)

The programs included in this package allow the making of
decisions  under  uncertainty according to logical and  statistically  correct
principles. Utility analysis and Bayesian probability analysis is treated. The
decision  table  program allows the entry of prior and  posterior  probability
information;  the  decision  tree  programs  allow ranking  the  hierarchy  of
decision  for  optimum results.  (No graphic layout of the  decision  tree  is
included.)

Program Set:

Decision: TREE, DTREE, DTABLE, UTILITY, BAYES.

File Transfer:  READFILE,  TRANSFER,  DIFTRANS, WRITEDIF,
WRITEDBF, JAZZ, MULTIPLN.



ECONOMETRICS

(ISBN 0-920387-24-1)

The programs associated with this title cover the
material (with some exceptions and additions) in the popular text by J.
Johnson entitled Econometric Methods. Topics covered are statistical
distributions and statistical inference; multilinear regression,
including weighted regression models, ridge regression, splines,
logit analysis; models
using sets of simultaneous equations; models based on time-series, including
autocorrelation, seasonal models, lagged variables, the Cochran-Orcutt
correction for autocorrelation in residuals, and the Durbin-Watson statistic. A
full set of file transfer programs is included so that data can be easily
transferred to and from popular spreadsheets.

TABLE OF CONTENTS

Chapter 1 - INTRODUCTION

1.1 - Statistical and Mathematical Concepts in Economics
1.2 - Economic Models and their Analysis

Chapter 2 - REGRESSION ANALYSIS

2.1 - Simple Linear Regression
2.2 - Multilinear Regression
2.3 - Transformations of Variables
2.4 - Residual Analysis
2.5 - Correlation Analysis
2.6 - The Problem of Drawing Conclusions

Chapter 3 - GENERALIZED REGRESSION ANALYSIS

3.1 - Correlation and Autocorrelation
3.2 - Weighted Models
3.3 - Ridge Regression
3.4 - Splines

Chapter 4 - TIME-SERIES ANALYSIS

4.1 - General Considerations
4.2 - Lagging and Leading Time-Series
4.3 - Relating One Time-Series to Another
4.4 - Box-Jenkins Techniques

Chapter 5 - SIMULTANEOUS EQUATION MODELS

5.1 - Introduction
5.2 - Applications

Program Set:

Data Handling: MVDATA, MVPRINT, TSDATA, TABULATE,
PRINTAB.

Regression: MVREG, MVREGA, MVREGW, RIDGE, DURBIN,
ORTHOREG, TESTORTH, REGGEN, PROBIT, LOGIT.

Correlation Analysis: FACTOR, PARTCORR, PRINCOMP, R-TEST.

Forecasting & Time-Series: AUTOREGA, ARIMA, BJFCAST,
PERIOD, FFT, CORRLATE, ORCUTT, DURBIN.

Simultaneous Equations: EQUATION, SIMLEQN.

Graphics: GRAPH, ROOTGRAM, 3DPLOT, BARCHART, HCHART.



EXPERIMENTAL STATISTICS

(ISBN 0-920387-00-4)

This general-purpose statistics package covers the
following major topics: distributions and sampling, statistical inference,
regression analysis, the design of experiments and the analysis of variance.
The full-size book describes the background and usage of statistics, with
examples; program instructions cover specific details of the sixty (approx.)
computer programs included in the package.

Specific topics are sampling distributions, the application of the Central
Limit Theorem, sampling (including sampling distributions and how to calculate
the sample size in an experiment), the normal distributions and those
distributions based on it (t, chi-square, and F), inverse and non-central
distributions, statistical inference and hypothesis testing (including non-
parametric testing), regression analysis (including simple linear and
multilinear regression, and regression using orthogonal polynomials), probit
analysis, the analysis of variance and the design of experiments (including
the use of orthogonal arrays for parameter design). The twenty-six (approx.)
programs on analysis of variance cover all major types of experiments,
including factorials, fractional factorials, blocked experiments, repeated
measures, nested factorials, Latin, Greek, and Youden squares, orthogonal
arrays, and so forth. Procedures for multiple comparisons are included.
Utilities include sorting and smoothing routines, graphics, file transfer
routines, and the like.

This text will allow you to develop a useful understanding of
statistics. The mathematics is left to the computer programs so that
you can concentrate on understanding the principles! Topics covered
include uncertainties, sampling distributions, the application of the
normal distribution, hypothesis tests, significance levels and the
calculation of Type I and Type II errors, the analysis of variance,
linear and multilinear regression, and much more. An extensive Glossary
of statistical terms is provided. A friendly, easy-to-read book, with
easy-to-use computer programs.

TABLE OF CONTENTS

Chapter 1 - ERRORS AND EXPERIMENTS

1.1 - Introduction
1.2 - Types of Errors
1.3 - Experimental Situations
1.4 - Uncertainties and Their Propagation
1.5 - Improving Precision by Experimental Arrangement

Chapter 2 - DISTRIBUTIONS OF ERRORS

2.1 - Randomness and Distributions of Random Numbers
2.2 - The Normal Distribution
2.3 - The Application of the Normal Distribution
2.4 - Using the Normal Distribution
2.5 - Sample Distributions
2.6 - Examining a Distribution for Normality
2.7 - Examples

Chapter 3 - HYPOTHESIS TESTS

3.1 - General Procedure
3.2 - One-Tailed and Two-Tailed Tests
3.3 - Tests on Means - Population Variance Known
3.4 - Tests on Means - Population Variance Unknown
3.5 - Tests on Variances
3.6 - Errors of the Second Kind
3.7 - Confidence Intervals
3.8 - Miscellaneous Significance Tests
3.9 - Examples

Chapter 4 - THE VARIABILITY OF EXPERIMENTAL DATA

4.1 - An Example
4.2 - Replication and Randomization
4.3 - Factorial Experiments
4.4 - Statistical Models
4.5 - Hypothesis Tests in Analysis of Variance
4.6 - Miscellaneous Techniques used with the Analysis
of Variance
4.7 - Examples

Chapter 5 - REGRESSION

5.1 - A Note on Terminology
5.2 - Simple Linear Regression
5.3 - Multilinear Regression
5.4 - Orthogonal Polynomials
5.5 - Response Surfaces
5.6 - Examples

Chapter 6 - ANALYSIS OF COVARIANCE

Chapter 7 - DESIGN OF EXPERIMENTS

7.1 - Introduction
7.2 - The Effects of Restrictions on Randomization
7.3 - Randomized Block Experiments
7.4 - Latin Squares and Graeco-Latin Squares
7.5 - Fractional Factorial Experiments
7.6 - General Classifications of Experiments
7.7 - The Deliberate Introduction of Systematic Error
7.8 - Examples

Chapter 8 - RESPONSE SURFACE EXPERIMENTS

8.1 - Central Composite Experiments
8.2 - Blocking Techniques
8.3 - Sequential Experiments
8.4 - Other Patterns For Experiments
8.5 - Looking Back
8.6 - Examples

Chapter 9 - DATA SEQUENCES & EXPLORATORY DATA ANALYSIS

9.1 - Data Sequences
9.2 - Exploratory Data Analysis

GLOSSARY OF TERMS

Appendix A - The Normal or Gaussian Distribution
Appendix B - The t-Distribution
Appendix C - The Chi-Square Distribution
Appendix D - The F-Distribution
Appendix E - Errors of the Second Kind
Appendix F - The Number of Observations Needed in an Experiment
Appendix G - The Handling of Outliers

Index

Program Set:

Data Entry and Tabulation: DATA, TABULATE, MVDATA,
MREGDATA, WREGDATA, TSDATA, MVPRINT, PRINTAB.

Distributions, Inference, and Sampling: DIST, INVDIST, NONCDIST,
NONPARAM, HYPOTEST,
RANKCORR, CONTINGE, SMPLSIZE.

Regression: WREG, MVREG, MVREGA, MREG,
ORTHOREG, TESTORTH, REGGEN, DURBIN.

Sensitivity Analysis: KARBER, UP&DOWN, PROBIT, LOGIT.

Analysis of variance:
1ANOVA, 2ANOVA, 3ANOVA, 1XANOVA, 2XANOVA, 1REPEAT, 2REPEAT, 2NESTED, 3NESTED,
EDIT, ARRAY, ORTHOGNL, 2KFACTOR, BLOCFACT, FRACFACT, 2RSANOVA, 3RSANOVA,
4RSANOVA, DUNCAN, BIBLOCK, BLKANOVA, BLKCOVAR, COVARIAT, LATIN, GREEK, YOUDEN.

File Transfer: READFILE, TRANSFER, DIFTRANS, WRITEDIF, WRITEDBF,
JAZZ, MULTIPLN.

Graphics and Utilities: GRAPH, CONDPLOT, ROOTGRAM,
SORT, SMOOTH, 3DPLOT, BARCHART, HCHART.



EXPLORATORY DATA ANALYSIS

(ISBN 0-920387-18-7)

A new way of looking at data - the EDA way! Descriptive statistics has
been changed forever by the statistician J.W.  Tukey.  Instead of
histograms, pie charts, and all that old jazz, people now examine
letter-value displays, stem and leaf displays, and
boxplots. They see if they can run a resistant line
through their data points; they indulge in median polish and
prepare coded tables; they check distributions by drawing
rootograms. If you are an old dog who wants to learn some new
tricks, this will be good for you. It's easy to learn and easy to use
- and it's useful!

EDA methods tend to concentrate attention to the median of data sets
(rather than to the mean as in traditional statistics). The various
techniques are graphically oriented and provide a good 'first look' at data
prior to the process of numerical analysis.

Program Set:

EDA Techniques: - EDATA, ROOTGRAM, CODEDTBL, LETRVALU,
STEMLEAF, RTNTLINE, BOXPLOT, MDPOLISH, SMOOTH. PRRATIO. FROOT.

Graphics: GRAPH, CONDPLOT, 3DPLOT, BARCHART, HCHART.

File Transfers: READFILE, TRANSFER, DIFTRANS, WRITEDIF, WRITEDBF,
JAZZ, MULTIPLN.



FORECASTING AND TIME-SERIES

(ISBN 0-9203870-02-0)

The statistical analysis of time-series has been the turf of the
"experts" - until now. The expertise is on Lionheart disks and you can
employ it at home or at the office without hiring a consultant. Topics
covered include the structure and analysis of time-series
(correlation, auto-correlation, and spectrum analysis with Fast
Fourier transforms), all major forecasting techniques (moving
averages, exponential smoothing, regression and autoregression, and
Box-Jenkins ARIMA-type models). A set of time-series and
examples is provided so that you can test your knowledge and
understanding of the programs. Examples of time-series include stock
and bond prices, a utilities index, and multiple time-series. If you
have heard of periodicity or of circadian rhythms, you need this book.
If you have heard of money, you will need both this one and the one on
Sales and Market Forecasting.

This title covers the general methods of analysis of
time-series and the forecasting techniques based on those methods. All types
of time-series are considered, those with trends, seasonality and periodicity,
autoregressive, and so forth. Examples of time-series used range from stock
prices and a utilities index to population series. Elaborate data entry and
transformation facilities are provided. Time-series analysis covers the study of
periodicity, correlation and cross-correlation, autoregression, and Fast
Fourier Transforms. Forecasting techniques range from simple methods such as
moving average smoothing and exponential smoothing, through autoregression and
regression models, to Box-Jenkins techniques. Two independent Box-Jenkins
models are provided; a three-parameter model which can handle non-stationary
series, and an approximate ARIMA(3,0,2) model. Simple transfer function
modeling is included. Twelve time-series are provided as data files for
practice with the various techniques.


TABLE OF CONTENTS

Chapter 1 - THE GENERAL NATURE OF TIME-SERIES

1.1 - A Historical Introduction
1.2 - Types of Time-Series
1.3 - Forecasting from Time-Series Data

Chapter 2 - USEFUL STATISTICAL TECHNIQUES

2.1 - Analysis of Variance
2.2 - Linear Regression
2.3 - Orthogonal Polynomials
2.4 - Multilinear Regression
2.5 - Autoregression

Chapter 3 - THE EXAMINATION OF TIME-SERIES

3.1 - Trends and Seasonality
3.2 - The Use of Smoothing
3.3 - The Correlation of Two Time-Series
3.4 - Autocorrelation
3.5 - Stationary and Non-Stationary Time-Series
3.6 - Fourier Analysis

Chapter 4 - FORECASTING TECHNIQUES

4.1 - Moving Averages
4.2 - Exponential Smoothing
4.3 - Box-Jenkins-Three Parameter Smoothing
4.4 - Accounting for Seasonality and Fitting Trends
4.5 - Regression Techniques
4.6 - ARIMA Methods

Chapter 5 - MULTIPLE TIME-SERIES

5.1 - Regression With Autocorrelated Errors
5.2 - Mixed Regressive-Autoregressive Models
5.3 - Transfer Function Models

Chapter 6 - EXAMPLES

6.1 - File Handling
6.2 - Periodicity
6.3 - Fitting a Trend
6.4 - Regression Techniques
6.5 - Regression Forecasting
6.6 - "Smoothing" Forecasting
6.7 - Autoregression
6.8 - Time-Series Analysis
6.9 - ARIMA Models
6.10 - Multiple Time-Series and Transfer Function Models
6.11 - Programs for Probability Distributions

Appendix 1 - Iteration Procedures
Appendix 2 - The Durbin-Watson Statistic

Program Set:

Data Entry and Transformation: MVDATA,
TSDATA, MVPRINT, SMOOTH, NEWINDEX.

Distributions: DIST.

Regression: MVREG, MVREGA, POLYREG, TESTPOLY, POLYDATA,
DURBIN.

Time-Series Analysis: PERIOD, CORRLATE, FFT.

Forecasting: MAVFCAST, EXPFCAST, ORCUTT, DURBIN,
BJFCAST, ARIMA, AUTOREG, AUTOREGA, REGFCAST, TRANREG, TESTDATA.

File Transfers: READFILE, TRANSFER, DIFTRANS, WRITEDIF,
WRITEDBF, JAZZ, MULTIPLN.

Graphics and Utilities: GRAPH, 3DPLOT, BARCHART, HCHART.

Data Files

TSA.73 - Sheep population in the U.K.
TSB.84 - U.S. Treasury bill interest rates.
TSC.240 - Monthly mean city temperatures.
TSD.78 - Dow-Jones utilities index.
TSE.107 - Prices of the common stock of a chemical company.
TSF.95 - Daily readings of viscosity.
TSG.30 - Sales Y(I), price X1(I), average industry price X2(I), and
advertising expenditure X3(I).
TSH.60 - End-of-month balance Y(I), AAA bond rate X1(I), and
government bond rate X2(I).
TSI.100 - Sales Y(I) and advertising expenditure X1(I).
TSJ.50  - A  series comprised of a sum  of trigonometric functions.
TSK.100 - U.S. quarterly unemployment rate.
TSL.100 - A first-order moving average series.



INFERENCE

(ISBN 0-920387-82-9)

Calculations from cumulative statistical distributions include the normal,
t,  chi-square,  and F;  the programs use the direct,
inverse, and non-central distributions. A full set of procedures is provided
for the calculation of Type II errors. The various hypothesis tests based on
these distributions have been programmed. Look-up tables give information
appropriate to non-parametric tests. Contingency problems are covered in an
RxC contingency table program and in a general cross-tabulation program which
handles association among entries.

Program Set:

Distributions: DIST, INVDIST, NONCDIST, BDIST.

Inference: HYPOTEST, NONPARAM, CONTINGE.

Cross-Tabulation: TABULATE, PRINTAB.

File Transfer: READFILE, TRANSFER, DIFTRANS, WRITEDIF, WRITEDBF,
JAZZ, MULTIPLN.

Graphics and Utilities: GRAPH, 3DPLOT, BARCHART, HCHART.



INVENTORY

(ISBN 0-920837-86-1)

The inventory management program is based on three categories: assemblies,
sub-assemblies, and parts. A parts list or bill of materials is kept for
each sub-assembly. When a part or a sub-assembly moves into a "work in progress"
state, the parts inventory is automatically adjusted. The parts inventory is
managed by finding the optimum re-order level, and a signal is given when that
level is reached. The program is suitable for the inventory management of a small
manufacturing or merchandising company.



LINEAR AND NON-LINEAR PROGRAMMING

(ISBN 0-920387-08-X)

The availability of powerful computing techniques allows the easy
application of "hard" topics such as linear programming, quadratic
programming, and non-linear programming in general. In this book the
mathematics is left to the computer and the emphasis is on how to
formulate problems which can be solved usefully by mathematical
programming techniques. Why spend a lot of time learning about matrix
theory? You'll never be as good at it as the computer. Learn how to
make the computer do all the hard stuff!

This package contains two linear programming
programs, one based on the SIMPLEX algorithm, the other using a
Monte Carlo technique. General purpose quadratic and non-linear
programming programs are implemented using a Monte Carlo
technique. Special problems handled include the distribution and
transportation problems, the assignment problem, and the
travelling salesman problem.

TABLE OF CONTENTS

Chapter 1 - LINEAR PROGRAMMING

1.1 - A Simple Example
1.2 - Another Simple Example
1.3 - Guessing the Answer
1.4 - Slack and Sensitivity
1.5 - Linear Programming in General
1.6 - How to Develop a Model
1.7 - What to Look for in Solutions

Chapter 2 - NON-LINEAR PROGRAMMING

2.1 - The Meaning of Non-Linearity
2.2 - Quadratic Programming
2.3 - General Non-Linear Models
2.4 - The Development of a Non-Linear Model
2.5 - Some Applications

Chapter 3 - EXAMPLES

3.1 - A Factory Planning Problem
3.2 - Risk-Limited Portfolio Selection
3.3 - A Corporate Short-Term Planning Model
3.4 - A Partial List of Published Problems and Solutions

Chapter 4 -  SPECIAL CASES OF INTEREST

4.1 - Distribution System
4.2 - Assignment
4.3 - Transportation Scheduling
4.4 - Maximum Flow
4.5 - Network Models
4.6 - Shortest Routes (The Travelling Salesman Problem)
4.7 - General Economic Applications

Index

Program Set: : LINEAR, SIMPLEX, QUADRATC, NONLIN,
DISTRIB, TRANSP, ROUTE, ASSIGN, INPUTDAT



MARKETING STATISTICS

(ISBN 0-920387-28-4)

Marketing Statistics contains those topics which seem
to be useful in market research and marketing situations. Statistical
techniques for market research include data collection and sampling, the
tabulation of questionnaire data and its analysis, and the application of
statistical inference. The use of experiment in market research is discussed
and various programs are provided for carrying out the analysis of variance of
experimental data. Association techniques are covered in detail; correlation
analysis studies the various factors influencing customer opinion.
Multivariate analysis techniques applied to marketing include multilinear
regression, factor analysis, residual analysis, principal component analysis;
sensitivity analysis includes probit and logit analysis. Marketing techniques
cover forecasting procedures and the development of a market audit. Finally
critical path analysis is applied to the task of preparing a
marketing plan.

TABLE OF CONTENTS

Chapter 1 - STATISTICAL IDEAS

1.1 - Accuracy and Precision
1.2 - Sampling Distributions
1.3 - Random Distributions and the Normal Distribution
1.4 - Why Statistics Works
1.5 - Using Statistics to Aid Decision
1.6 - Errors Associated with Statistical Decisions

Chapter 2 - QUESTIONNAIRES

2.1 - Problems of Sampling
2.2 - Design of Samples
2.3 - Types of Data from Samples
2.4 - Analysis and Presentation of Data
2.5 - The Validity of Samples
2.6 - Missing Values

Chapter 3 - STATISTICAL EXPERIMENTS

3.1 - The Idea of Experiment
3.2 - Randomization and Replication
3.3 - Types of Experiments
3.4 - Analysis of Variance
3.5 - Drawing Conclusions from Experiments

Chapter 4 - REGRESSION

4.1 - Relating One Variable to Another
4.2 - Simple Linear Regression
4.3 - Multilinear Regression
4.4 - Pitfalls of Regression Analysis

Chapter 5 - LINEAR EQUATION MODELS

5.1 - Simultaneous Linear Equations
5.2 - Handling the Data

Chapter 6 - EXAMINATION OF POPULATIONS

6.1 - Factor Analysis
6.2 - Discriminant Analysis
6.3 - Canonical Correlation

Chapter 7 - PUTTING DATA INTO GROUPS

7.1 - Cluster Analysis Techniques

Chapter 8 - SENSITIVITY ANALYSIS

Appendix - Planning and Scheduling Market Research

Program Set:

Data Collection and Handling: TNUMBER, TABULATE, PRINTAB,
MVDATA, MVPRINT.

Inference: DIST, NONCDIST, HYPOTEST.

Sensitivity Analysis KARBER, PROBIT, LOGIT.

Graphics & Utilities: GRAPH, ROOTGRAM, 3DPLOT, BARCHART, HCHART.

Regression: MVREG, MVREGA, REGGEN, DURBIN.

Analysis of Variance: 1ANOVA, 2ANOVA, 3ANOVA, EDIT,
ARRAY, ORTHOGNL, DUNCAN.

Simultaneous Equations: EQUATION, SIMLEQN.

Correlation Analysis: FACTOR, ROTATE, DISCRIM, PRINCOMP.

Cluster Analysis: MTXINPUT, TRANSFRM, DIVIDE, SUMOFSQR.

Project Planning: CPDATA, CRITPATH, ASSIGN.



MATRIX OPERATIONS

(ISBN 0-920387-88-8)

Simple operations include matrix entry routines,
addition, multiplication, transposition, and inversion. More complex routines
involve finding the eigenvalues of symmetric and non-symmetric matrices, and
the Cholesky decomposition of matrices. The solution of sets of similar
equations is provided. Also provided are data transfer programs for the easy
moving of files to and from popular spreadsheet programs.

Program Set:

Matrix Routines: MATRIX, MTXINPUT, MTXPRINT, EIGENVAL,
MTXDIAG, CHOLESKY, TRIDIAG, ROOTS, SINGULAR.

Simultaneous Equations EQUATION, SIMLEQN.

File Transfer: READFILE, TRANSFER, DIFTRANS, WRITEDIF, WRITEDBF,
JAZZ, MULTIPLN.

Graphics and Utilities: GRAPH, 3DPLOT, BARCHART, HCHART.



MULTIVARIATE ANALYSIS

(ISBN 0-920387-20-9)

This software package is intended for people
who have had some formal training in the topic of Multivariate
Analysis. The manual and the programs cover the major topics of
the discipline, including multilinear regression, correlation
analysis (including part and partial correlation between data
sets), factor analysis (with Varimax and Quartimax rotations),
principal component analysis, discriminant analysis, canonical
component analysis, and residual analysis. Multiple population
topics include MANOVA with and without a covariate. A
full cross-tabulation program is included.

The text provides a review of the major techniques of multivariate
analysis and explains how the computer programs associated with the
package are used. Topics covered include correlation analysis, factor
analysis, component analysis in general, and the study of multiple
populations.

TABLE OF CONTENTS

Preface

Chapter 1 - DATA ENTRY AND MANAGEMENT

Chapter 2 - MULTILINEAR REGRESSION

Chapter 3 - MULTIPLE CORRELATION

Chapter 4 - COMPONENT ANALYSIS

Chapter 5 - FACTOR ANALYSIS AND ROTATION

Chapter 6 - MULTIVARIATE ANALYSIS OF VARIANCE

Index

Program Set:

Data Entry and Tabulation: TABULATE, MVDATA,
TSDATA, MVPRINT, PRINTAB.

Distributions : DIST.

Regression: MVREG, MVREGA, REGGEN.

Multivariate analysis: CMATRIX, MULTCORR, PARTCORR,
FACTOR, ROTATE, RESIDUAL, DISCRIM, FSCORES, SCORCOEF, CANONICL,
PRINCOMP, MANOVA, COVAR, CLASSIFY, QUADDISC, STEPDISC.

File Transfers:
READFILE, TRANSFER, DIFTRANS, WRITEDIF, WRITEDBF,
JAZZ, MULTIPLN.

Graphics & Utilities: GRAPH, ROOTGRAM, 3DPLOT, BARCHART, HCHART.



OPTIMIZATION

(ISBN 0-920387-12-8)

In business and technology there is a wide variety of problems which
require optimization. These range from the optimization of investment
portfolios to finding the minimum costs of inventories. Sometimes
they are both hard to understand and hard to solve. This book and its
computer programs will help both with the understanding and the
solution. The programs associated with this book allow you to enter
the parameters of a situation that you have formulated and obtain an
optimum.

Optimization is a broad and diverse topic
and both the book and the program set reflect this diversity. The
major topics covered are: optimization by
sampling and inference; optimization by experiment, including the
use of response-surface experiments and the use of orthogonal
arrays; optimization by mathematical programming, including
linear programming and goal programming for multi-criteria
optimization; optimization by simulation. Special topics include
the study of queues and simulated queuing systems; inventory
problems; the optimization of financial portfolios. A general
purpose optimization program OPTIMIZE allows the
optimization of a user-defined function; similarly,
SIMULATE provides the response of a user-defined function
to random inputs.


TABLE OF CONTENTS

Chapter 1 - CONCEPTS

1.1 - The Nature of Optimization
1.2 - The Need for Optimizing Techniques
1.3 - Min/Max Criteria
1.4 - Constrained Optimization
1.5 - Models

Chapter 2 - OPTIMIZATION BY EXPERIMENT

2.1 - The Purpose of Experiment
2.2 - Response Surface Experiments
2.3 - Finding the Optimum
2.4 - Examples
2.5 - Experimental Variation of Parameters
2.5.1 - Plackett-Burman Designs
2.5.2 - Orthogonal Arrays
2.5.3 - Parameter Design
2.5.4 - Tolerance Design

Chapter 3 - OPTIMIZATION BY LINEAR PROGRAMMING

3.1 - Linear Models of Systems
3.2 - Procedures of Linear Programming
3.3 - Limitations of the Technique

Chapter 4 - MULTI-OBJECTIVE OPTIMIZATION

4.1 - Delineation of Multiple Objectives
4.2 - Mathematical Programming
4.3 - Generalized Techniques
4.4 - Examples

Chapter 5 - SIMULATION AND MONTE CARLO EXPERIMENTS

5.1 - The Idea of Simulation
5.2 - The Monte Carlo Technique
5.3 - Simulation "Experiments"
5.4 - Applications

Chapter 6 - SPECIFIC APPLICATIONS

6.1 - Inventories - Deterministic and Probabilistic Demand
6.2 - Queuing
6.3 - Sales and Company Planning
6.4 - Portfolio Management
6.5 - Optimization of Specific Functions
6.6 - Miscellaneous

Appendix - Utility

Program Set:

Data Entry: MVDATA, MVPRINT.

Distributions, and Inference: DIST, HYPOTEST.

Regression: MVREG, REGGEN.

Analysis of variance: EDIT, ARRAY, ORTHOGNL, 2RSANOVA,
3RSANOVA, 4RSANOVA.

Mathematical programming: SIMPLEX, LINEAR, GOAL.

Special Topics: QUEUE, SIMQUEUE, INVENTRY, FINANCL,
UTILITY.

General Optimization and Simulation: OPTIMIZE, SIMULATE, RANDOM.

File Transfers: READFILE, TRANSFER, DIFTRANS, WRITEDIF,
WRITEDBF, JAZZ, MULTIPLN.

Graphics & Utilities: GRAPH, CONDPLOT, 3DPLOT, BARCHART, HCHART.




PARAMETER AND TOLERANCE DESIGN

(ISBN 0-920387-78-0)

One of the most recent and most powerful techniques for
optimization in engineering and technology is the application of
statistical techniques to the problem of parameter and tolerance
design. The techniques using orthogonal arrays were originally
developed by G. Taguchi in a quality control context, but quickly
found much broader application. The type of problem that the
technique addresses is the one of optimizing a preliminary
design. After a design for a device has been prepared by
specialists it is always necessary to optimize that design, that
is, to find out which of the many design parameters have the most
important effect of the overall performance and reliability of
the device. Similarly, production and maintenance costs can
be optimized by determining which components have the greatest
effect on lifetime and on failure or deterioration. There is no
point, for example, in specifying high price materials for non-
critical components. The optimization can be carried out by
experiment or by computer simulation of experiment. The text
gives a clear description of the procedures, with examples, and
the programs allow a professional approach to application of the
techniques.

TABLE OF CONTENTS

Chapter 1 - INTRODUCTION

1.1 - The Need For Parameter and Tolerance Design
1.2 - Available Techniques
1.3 - The purpose of Statistical Techniques

Chapter 2 - EXPERIMENTAL DESIGN

2.1 - Experiments as Statistical Samples
2.2 - Relationship to the Parameter Design Problem
2.3 - Randomization and Replication
2.4 - Analysis of Variance
2.5 - Restrictions on Randomization

Chapter 3 - ORTHOGONAL ARRAYS

3.1 - Definition
3.2 - Relationship to Standard Designs
3.3 - Analysis
3.4 - Drawing Conclusions

Chapter 4 - USING ORTHOGONAL ARRAYS IN DESIGN

4.1 - Simulated Experiments
4.2 - Actual Experiments

Chapter 5 - EXAMPLES

Program Set:

Analysis of Variance:  ARRAY,  EDIT,  ORTHOGNL, 2KFACTOR,
BLOCFACT, FRACFACT.

File Transfer: READFILE, TRANSFER, DIFTRANS, WRITEDIF, WRITEDBF,
JAZZ, MULTIPLN.



PROJECT PLANNING (PERT & CPM)

(ISBN 0-920387-14-4)

Project scheduling methods have been among those "good ideas"
that are not used all that much, mainly because it has been just
too much trouble for the average manager to get the information
into (and out of) the main-frame computer. Now Lionheart has
changed all that if you have a microcomputer of standard
capacity. The book gives a review of the ideas behind the
techniques - and of network theory in general. The programs allow
the user to supervise a project on his own, with instant answers
changing specialized techniques into an immediate management
tool.

Two special purpose programs handle the
specific problems of job shop scheduling (SCHEDULE) and
optimum assignments (ASSIGN). The major project planning
programs are based on the PERT and Critical Path Analysis
techniques. The programs are activity oriented - the user must
prepare the network of activities; the programs will analyze the
network and provide various results useful for scheduling
purposes. PERT produces the critical path and the
probability of finishing on time; it is possible to go back and
adjust individual times to see the effect on the overall
probability of finishing on time. CRITPATH produces the
critical path, then provides a report on all non-critical
activities, giving the latest starting times, the earliest
finishing times, and so forth. The program allows full and
selective crashing to see whether or not extra expenditure
of money will speed up completion of the project. PLANNER
is a full-featured project management program, allowing the
inclusion of holidays in the schedule, continual updates of
activities, the preparation of cash flow reports, the printing of
Gannt charts, and so forth.

TABLE OF CONTENTS

Chapter 1 - DEFINITIONS AND CONCEPTS

Chapter 2 - THE DEVELOPMENT OF A NETWORK OF ACTIVITIES

2.1 - Project Planning
2.2 - Types of Networks or Logic Diagrams
2.3 - Data Requirements
2.4 - Guidelines for Network Construction
2.5 - The Team Approach

Chapter 3 - CRITICAL PATH ANALYSIS

3.1 - A Simple Example
3.2 - Scheduling and Control
3.3 - Resource Analysis and Scheduling
3.4 - Cost Analysis and Control

Chapter 4 - PERT ANALYSIS

4.1 - Assumptions Involved in PERT
4.2 - PERT/COST
4.3 - Limitations of PERT/CPM Techniques

Chapter 5 - EXAMPLES

5.1 - Building a Small House
5.2 - Planning a Sales Conference
5.3 - Building a Bridge
5.4 - Preparing Financial Statements for a Company
5.5 - Where to Find Some Other Examples

Appendix 1 - Gannt Charts
Appendix 2 - The Beta Distribution

Program Set:

Project planning: CPDATA, PLANNER, PERT, CRITPATH.

Special purpose: ASSIGN, SCHEDULE.



QUALITY CONTROL & INDUSTRIAL EXPERIMENTS

(ISBN 0-920387-22-5)

This book covers the usual industrial quality control techniques and
then goes into the more general topic of industrial experiments to
develop the background of the on-line and off-line
quality control techniques made popular by G. Taguchi. The book is
written in a practical "down-to-earth" way and the
mathematical content of the book is kept to a minimum so that it can
be read with profit by a non-statistician. The programs are arranged
for factory use.
The standard quality control methods are thoroughly
covered in this title. All popular types of quality control charts have been
implemented (with constant and variable sample sizes), and the chart
presentations conform to the ASQC standards. The statistical background of
statistical quality control is discussed in detail, and all information
relevant to the preparation of the charts is provided. The book and the
programs go much farther than the usual quality control description and
treat the use of experiments for quality control sampling, in general and
particular. A large section on the analysis of variance and the design of
experiments is included; in particular, the Taguchi methods applying
orthogonal arrays are described, as is the use of experiments in parameter
design and tolerance design. The topics and the software cover all the
traditional methods of quality control as well as the latest and most
sophisticated techniques.

TABLE OF CONTENTS

Chapter 1 - THE CONCEPT OF QUALITY

Chapter 2 - SAMPLING SCHEMES

2.1 - Sampling Distributions
2.2 - Testing by Sequential Sampling
2.3 - Acceptance Sampling
2.4 - The Calculation of Probabilities

Chapter 3 - QUALITY CONTROL CHARTS

3.1 - The Normal Distribution
3.2 - Control Charts for Measurements
3.3 - Control Charts for Samples
3.4 - Control Charts for Attributes
3.5 - CUSUM Charts
3.6 - Process Capability Index
3.7 - Diagnosis Intervals and Taguchi's Loss Functions
3.8 - Design of Quality Control Systems

Chapter 4 - THE USE OF EXPERIMENTS FOR SAMPLING

4.1 - The Idea of Experiment
4.2 - Randomization and Replication
4.3 - The Analysis of Variance
4.4 - An Example of an Experiment
4.5 - The Type of Information Produced by an Experiment
4.6 - How to Handle Experimental Information

Chapter 5 - THE ANALYSIS OF VARIANCE

5.1 - Introduction
5.2 - The Effects of Restrictions on Randomization
5.3 - Randomized Block Experiments
5.4 - Latin Square and Graeco-Latin Square Experiments
5.5 - Fractional Factorial Experiments
5.6 - General Classifications of Experiments
5.7 - Deliberate Introduction of Systematic Error
5.8 - Response Surface Experiments
5.9 - Examples

Chapter 6 - DESIGN OF EXPERIMENTS

6.1 - Introduction
6.2 - Factorials as Screening Experiments
6.3 - Incomplete Block Designs
6.4 - Plackett-Burman Designs
6.5 - Orthogonal Arrays

Chapter 7 - REDUCING THE NUMBER OF OBSERVATIONS

7.1 - Parameter Design
7.2 - Tolerance Design

Appendix 1 - Estimation and Statistical Inference
Appendix 2 - Errors of the First and Second Kind
Appendix 3 - Finding the Sample Size
Appendix 4 - Regression Analysis
Appendix 5 - Probability Distributions

Index

Program Set:

QC Charts: CONTROL, XBAR&R, XR-CHART, MOVINGR,
ATTRIBUT, P-CHART, %D-CHART, PARETO, CUSUM.

Misc.: LOSS, PERIOD.

Data Entry and Tabulation: MVDATA, TSDATA,
MVPRINT.

Distributions, Inference, and Sampling: BDIST, INVDIST,
SMPLSIZE.

Regression: MVREG, MREG, REGGEN.

Analysis of variance:
1ANOVA, 2ANOVA, 3ANOVA, 1XANOVA, 2XANOVA, 1REPEAT, 2REPEAT, 2NESTED, 3NESTED,
EDIT, ARRAY, ORTHOGNL, 2KFACTOR, BLOCFACT, FRACFACT, 2RSANOVA, 3RSANOVA,
4RSANOVA, DUNCAN, BIBLOCK, BLKANOVA, BLKCOVAR, COVARIAT, LATIN, GREEK, YOUDEN.

File Transfers: READFILE, TRANSFER, DIFTRANS, WRITEDIF, WRITEDBF,
JAZZ, MULTIPLN.

Graphics and Utilities: GRAPH, CONDPLOT, ROOTGRAM, 3DPLOT, BARCHART, HCHART.



REGRESSION

(ISBN 920387-90-X)

This title is comprised of procedures based on the least
squares technique. The program set included simple linear regression, four
multilinear regression programs, ridge regression, and regression using
orthogonal polynomials. The simple linear regression program provides the
analysis of variance, confidence intervals on regression estimates and on data
points, and so forth. Multilinear regression programs include a fast and
accurate algorithm (max. 8 independent variables) which does not use a matrix
inversion routine, multilinear regression for weighted data points, a general
multilinear regression program which provides the correlation matrix, beta
weights, t-values, and so forth, and a multilinear program which uses the
Cholesky decomposition techniques and which is capable  of handling
interrelationships between independent variables. A Durbin-Watson program is
provided for the study of correlations among the residuals. Interdependence
among the independent variables can be studied with programs which carry out
principal component analysis, and which study part and partial correlations
between segments of the data set. Data entry programs allow transformations of
all kinds, and
file transfer programs so that data can be transferred easily to and from
popular spreadsheet programs. Utility programs include data generation
programs  for  testing the  regression  procedure,  and  graphing
programs.

TABLE OF CONTENTS

Chapter 1 - RELATING ONE VARIABLE TO ANOTHER

1.1 - Least Squares
1.2 - Simple Linear Regression
1.3 - Evaluating the Fit
1.4 - Outliers
1.5 - Resistant Line Techniques
1.6 - Weighted Least Squares

Chapter 2 - CORRELATION ANALYSIS

2.1 - Relating Many Variables
2.2 - Multilinear Regression
2.3 - The Selection of Variables
2.4 - Missing Variables

Chapter 3 - WEIGHTED LEAST SQUARES

3.1 - Problems in Residual Analysis
3.2 - Weighting Techniques

Chapter 4 - ERROR ANALYSIS

4.1 - Correlation and Autocorrelation
4.2 - The Durbin-Watson Statistic

Chapter 5 - FITTING CURVES

5.1 - The Multilinear Regression Approach
5.2 - Orthogonal Polynomials

Chapter 6 - SPECIAL TOPICS

6.1 - Probit and Logit Models
6.2 - Ridge Regression
6.3 - Splines

Program Set:

Data Entry and Tabulation: MVDATA,
MREGDATA, WREGDATA, TSDATA, MVPRINT.

Regression:  WREG,  MVREG,  MVREGA, MVREGW, MREG.
RIDGE, ORTHOREG, TESTORTH, REGGEN, RTNTLINE.

Factor Analysis: MULTCORR, FACTOR, ROTATE, PRINCOMP, PARTCORR.

Sensitivity Analysis: KARBER, UP&DOWN, PROBIT, LOGIT.

File Transfer: READFILE, TRANSFER, DIFTRANS, WRITEDIF, WRITEDBF,
JAZZ, MULTIPLN.

Graphics & Utilities: GRAPH, 3DPLOT, BARCHART, HCHART.

SALES AND MARKET FORECASTING

(ISBN 0-920387-04-7)

This book, with its special programs and data files, shows how to
apply forecasting techniques to business problems, especially to sales
and market forecasting. A review of demand analysis is given, and the
way to make a connection between a company time-series (such as sales)
and various general economic time-series is reviewed. The various
forecasting methods are used on "real-life" time-series to demonstrate
which techniques are appropriate for which applications. Finally, it
is shown how the development of a forecast can be related to a market
share audit and used in the development of marketing strategy. About
50 monthly and yearly time-series related to the US economy are
provided, giving an up-to-date data base for practical forecasting.

This title builds on the material covered in
Forecasting and Time-Series and attacks the very practical problem of
how to make a forecast and what to do with the forecast once it is made. The
starting point is the preparation of a demand analysis and the generation of a
company time-series. The various factors which might appear in a company time-
series (trends, seasonality, and so forth) are examined in detail and examples
are given of the appropriate forecasting techniques. The problem of relating
the company time-series to more general business and economic time-series is
covered, as is the development of the forecast itself, and finally the
preparation of a market audit from the various materials generated during the
forecasting process. Sources of information about business data are provided
as is an extensive data base of about fifty yearly and monthly time-series
obtained from U.S. Department of Commerce publications. Numerous example are
provided.


TABLE OF CONTENTS

Chapter 1 - GETTING STARTED

1.1 - The Nature of the Data
1.2 - Entering and Correcting Data
1.2 - Transformation of Data
1.3 - The Problem of Seasonally Adjusted Data

Chapter 2 - A GENERAL OUTLINE

2.1 - Introduction
2.2 - Underlying Assumptions
2.3 - Forecasting Strategies
2.4 - The Use of Market and Sales Forecasts
2.5 - The Dimensions of a Forecast
2.6 - Criteria of Good Forecasting Method
2.7 - The Functional Concept of Forecasting
2.8 - Randomness
2.9 - Correlation Analysis
2.10 - Demand Analysis and the Selection of Explanatory
Variables
2.11 - Statistical Adjustments to Data
2.12 - Product Group Breakdown
2.13 - Non-Durable Consumer Goods, Well-Established:
Market Forecast
2.14 - Non-Durable Consumer Goods, Well-Established:
Company Forecast
2.15 - Durable Consumer Goods, Well Established
2.16 - Industrial Materials, Well-Established
2.17 - Capital Goods, Well-Established
2.18 - New Products

Chapter 3 - ADJUSTING FOR INFLATION AND POPULATION

3.1 - An Example of Inflation
3.2 - How to Deflate a Time-Series
3.3 - Putting a Time-Series on a Per Capita Basis
3.4 - An Overview

Chapter 4 - SEASONAL CHARACTERISTICS

4.1 - Series Which Show Seasonal Characteristics
4.2 - Studying the Nature of Seasonality
4.3 - Handling Seasonality by Regression
4.4 - Finding a Trend in a Seasonal Series
4.5 - Nonlinear Trends

Chapter 5 - TRENDS AND CYCLES

5.1 - Introduction
5.2 - Trends in Seasonal Series
5.3 - Trends in Non-Seasonal Series
5.4 - Cycles

Chapter 6 - FITTING TIME-SERIES USING BOX-JENKINS
 TECHNIQUES

Chapter 7 - FINDING CORRELATIONS BETWEEN TIME-SERIES

7.1 - Comparing Time-Series
7.2 - Correlations Between Series
7.3 - Relationships found By Regression

Chapter 8 - PUTTING IT ALL TOGETHER

8.1 - A Case Study
8.2 - An Overview of Forecasting

Appendix A - Where to Find Information
Appendix B - Using a Jury of Opinion
Appendix C - Leading Time-Series
Appendix D - Diffusion Indexes


Program Set:

Data Entry and Transformation: MVDATA,
TSDATA, MVPRINT, SMOOTH, NEWINDEX, ADSERIES, NORMLIZE.

Distributions: DIST.

Regression: MVREG, MREG, POLYREG, TESTPOLY, POLYDATA,
DURBIN.

Time-Series Analysis: PERIOD, CORRLATE, FFT.

Forecasting: MAVFCAST,
EXPFCAST, BJFCAST, ARIMA, AUTOREGA, REGFCAST, TESTDATA,
LREG, TRENDREG, TREND, WINTERS.

File Transfers: READFILE, TRANSFER, DIFTRANS,
WRITEDIF, WRITEDBF, JAZZ, MULTIPLN.

Graphics and Utilities: GRAPH,
CONDPLOT, ROOTGRAM, 3DPLOT, BARCHART, HCHART.

DATA FILES

Included are the 12 data files from Forecasting and Time-
Series plus the following monthly and yearly files obtained from
government and industry publications.

(A) Monthly Series (1977-1983)

INVENTRY.79 - Manufacturer's monthly inventory (unadjusted)
CPI.80 - CPI (all items) 1972=100
HOUSES.79 - Total housing starts in thousands
ADS.67 - Newspaper advertising in $millions
USPOP.80 - US population in millions
M2.80 - M2 money supply in $billions
BEER.79 - Beer production in millions of barrels
WHISKEY.79 - Whiskey imports in millions of gallons
STEEL.80 - Raw steel production in thousands of tons
MACHTOOL.81 - New orders for metal-cut machine tools
WORKWEEK.82 - Average hours worked per week
INDINDEX.82 - The Index of industrial production
APLIANCE.81 - New orders of household appliances.
DPI(ADJ).79 - Disposable personal income in $billion and $1972
DPI.80 - Disposable personal income (seasonally  adjusted)
NPCMP525.81 - Consumption of newsprint by 525 US newspapers
NPSTK525.81 - Stocks of newsprint held by 525 US newspapers

(B) Yearly Series 1889-1983

GNP.Y93 - GNP current prices ($billion)
GNPPC.Y93 - GNP per capita in current dollars
GNP$72.Y93 - GNP ($billion) in $1972
GNPPC$72.Y93 - GNP per capita in $1972
CPI$72.Y93 - Implicit price index 1972=100
BEER.Y93 - Beer production (thousands of barrels)
STEEL.Y93 - Raw Steel production (thousands tons)
HOUSES.Y93 - New Housing starts ($ millions)
PAPERBRD.Y93 - Total paper & board consumption
NPCONSUM.Y93 - US newsprint consumption 1913-1975
NP$PRICE.Y93 - Newsprint price/tonne 1914-1975
NP$ADS.Y93 - US newspaper advertising in $million 1935 to 1982
NATINC.Y93 - National Income 1919-1982 in $billion

SIMULATIONS

(ISBN 0-920387-80-2)

Monte Carlo simulation techniques are used to analyze the major
problems faced in business management; inventory management,
service and supply management (queues), and risk analysis and
financial management.
Since the probability of occurrence of events is not likely to be
known in business (at least with any accuracy) a variety of
probability functions is provided with the programs. Inventory
simulation helps to answer the basic questions How much
should be purchased? and When should the purchases be
made? Queue simulation helps the study of service and supply
problems. The simulation programs deal with the problems of one-
channel/n-stations, n-channels/one-station, and n-channels/m-
stations. The financial simulation program handles the problems
of buy-sell and deposit placings; a simplex algorithm
allows the study of the best combination of purchases and sales
over different periods of time.

Program Set:

INVNTORY, 1-NQUEUE, N-1QUEUE, N-MQUEUE, RISK.

DATABASES

Databases are collections of numerical information in comma-delimited
ASCII form with titles or legends where
needed. The data can be accessed by a word-processor, a
spreadsheet program, and excerpted for detailed analysis by
Lionheart programs. Similarly the data can be graphed using
graphics programs or the graphics capabilities of the spreadsheet
programs.

The data diskettes are not copy-protected and
the materials can be stored on a hard disk. A typical line of
data from the Prescription Drugs database is as follows:

"0000020803","DARVON","LILLY","RX","CAP, GELTN","ORAL",65,"MG"

A line from the County and City set has the form

01001,"Autauga, AL",597,50767,3444354,389388,-5,76.7,2337713,...

Alphabetical information, such as the drug name DARVON is
enclosed by quotation marks; numerical information is not. A
manual is provided to explain the structure and nature of the
data files and to provide the code for the meaning of each item
of information.

If you have ever needed to go to a library and browse through
volumes of government publications to obtain data you will
appreciate both the the convenience and the cost savings that
acquisition of these databases imply. A day's work (and
sometimes that of a week) is needed to extract any substantial
amount of information, always supposing that your library has it
in the first place!

GNP DATA - This database is a must for those
people involved in serious study of the economy of the United
States. It gives yearly data from 1929 grouped into the
following 9 parts; national product and income, personal income
and outlay, government receipts and expenditures, foreign
transactions, savings and investment, product and income by
industry, implicit price deflators and price indexes,
supplementary tables, and seasonally adjusted estimates. Each
part is divided into tables for a total of 152 tables. An
example of the data is given below (the columns for years from
1929 to 1984 have been omitted).

                                   1985      1986

Gross National Product             3998.1    4206.5
Personal consumption expenses      2600.5    2763.1
   Durable goods                   359.3     388.4
   Non-durable goods               905.1     932.7
   Services                        1336.1    1442.0
Gross private domestic investment  661.1     684.1
   Fixed investment                650.0     676.3
    Nonresidential                 458.2     459.3
     Structures                    154.8     143.1
    Producers' durable equipment   303.4     316.2
    Residential                    191.8     217.0
   Change in business inventories  11.1      7.8
    Nonfarm                        12.1      8.3
    Farm                          -1.1      -0.5
Net Exports of Goods and Services -78.9     -105.2
   Exports                        369.8     372.3
   Imports                        448.6     477.5
    .
    .

FINANCIAL & ECONOMIC - 428 Time-series which start in the
mid-1940's and continue until the current year, including 8
composite indexes, 31 diffusion indexes, 122 cyclical indicators,
55 national income series, 46 wage and price series, 50
unemployment claims by State, 14 international transactions, and
25 industrial production. Even state unemployment data, both
adjusted and unadjusted, is available for all fifty states.


INTERNATIONAL DATA - Data (collected from the U.N., the
World Bank, national statistical offices, research centers, and
federal agencies) on all 205 countries in the
world, including population, vital statistics, health and
nutrition, fertility and child survival, migration, provinces and
cities, family planning, ethnicity, language, religion, literacy
and education, labor force, income, and GNP. Regional groups are
as follows:

East Africa         Middle South Asia        Eastern Europe
Middle Africa       Western South Asia       Northern Europe
Northern Africa     Caribbean                Southern Europe
Southern Africa     Middle America           Western Europe
Western Africa      Temp. South America      Soviet Union
East Asia           Trop. South America      Australia-NZ
Eastern South Asia  Northern America         Melanesia
                                             Micronesia
                                             Polynesia


ZIP CODE DIRECTORY - ZIP codes and addresses for all
38,000 codes in the country plus the corresponding city,
state, county, type, latitude and longitude. The latitude and
longitude information is especially valuable for shippers,
distributors, geographers, or anyone interested in finding
physical location or in measuring distance. The latitude and
longitude information can be used for calculating distances
between ZIP codes; this calculated distance then can be used in
selecting the nearest sales or service location to a customer. (A
section in the manual covers this application in detail). The type
identification of codes tells if the code is (a) standard, (b)
unique, (c) post office box, or (c) APO/FPO.

COUNTY & CITY - 230 data items on the 3,137 counties in
the United States and the 957 cities which have a population
greater than 25,000. Data include agriculture, banking, crime,
climate, education, 1980 elections, government, health,
household, labor force, land, manufacturers, money, income,
population, poverty, retail trade, and savings and loans. Are you
interested in your local government? The database has information
on it; the crime rate, climate, income, expenditures, housing,
schools, and so forth. For marketing research there is
information on household income, sales by type of establishment,
median income, per capita income, and poverty level. Subsets
for single states are available for $45.

COUNTY BUSINESS - Businesses are categorized by their
Standard Industrial Classification (SIC) code and cover
the economy from agriculture to manufacturing to transportation.
Data include the total number of business establishments, the
number of employees, payroll, and so forth, classified by county
and State.  You'll be at the pulse of American business, taking
readings on the total number of business establishments and
employees per industry. Payroll information and employment-size
class studies will allow you to determine which industries are
based primarily on smaller operations and which ones are composed
of larger establishments. Compare industries; compare businesses
within industries; pick and area, or analyze the whole country.
County Business put all the facts at your fingertips.
Subsets for single States are available for $45.

COUNTY DEMOGRAPHIC - Population information by county on
age groups, race, income, poverty, labor force, and so forth for
a total of 437 data items. State and national totals are also
available. The data were collected by a number of federal and
government agencies and present a comprehensive view of the
nation's population on a county-by-county basis. The data are
available for all 3137 counties in the United States.

This database differs from County and City in that is
contains historical data items going back to 1940, but no city
data. Typical data items are: (a) population for 1940, 1950, 1960,
1970, and 1980 (b) net migration for each decade, (c) male and
female population in 5-year age groups, and many more.
Subsets for single States are available for $45.

GOVERNMENT ADDRESSES - The addresses of 3,042 counties,
19,060 municipalities, 16,645 townships, 28,543 special
districts, 15,021 school districts, and so forth for a total of
83,826 addresses. The format of the data has been designed for
use with 3.5" by 15/16" mailing labels. (The net cost is $2.30
per thousand labels!). Just think what this database can do for
any business which sells products and services to local
government agencies. This comprehensive research and marketing
tool lets your sales people and sales literature get right to
prospective customers.

HEALTH PROFESSION - 390 data items covering the 3,137
counties in the United States, including medical doctors,
osteopaths, dentists, veterinarians, pharmacists, optometrists,
podiatrists, and nurses. Medical specialities covered include
allergy, cardiovascular, dermatology, gastroenterology, internal
medicine, pediatrics, pulmonary, general surgery, colon/rectal,
urology, aerospace medicine, anesthesiology, child psychology,
psychiatry, pathology, and so forth.  Data on medical and nursing
schools by county is also provided. Subsets for single states are
available for $45.

PRESCRIPTION DRUGS - Data on over 30,000 prescription and
over-the-counter drugs including trade name, labeling company,
route of administration, dose form and strength, and so forth.
The drug contents information contains all active
ingredients. The dose form has 99 different categories; the route
of administration 36 categories. A drug can be packaged several
different ways and the database contains information on all the
package types. The type of package (bottle, tube, box, etc.) and
size are included for each and every drug. Also included is
information on all of the active ingredients. The amount of the
ingredient is given in common units such as grams, ounces, and so
forth. Best of all is a class cross reference that groups drugs
according to use. The drug classes are based on the third edition
of the AMA Drug Evaluation publication. This allows you
to locate all the drugs for a specific use.

FOODS & NUTRITION - The nutritional breakdown of 4137
common raw, processed, and prepared foods grouped in 498
categories with up to 216 varieties per category. The information
is supplied in common household units with gram weights based on
edible portions only. Foods are broken down into compositional
elements including protein, fat, carbohydrate, fiber, vitamins,
minerals, amino acids (18 types), fatty acids, and so forth.
For each food you get information on

  Proteins
  Lipids (fats)
  Carbohydrates
  Crude Fiber
  Ash
  Calories
  Water
  9 Minerals
  11 Vitamins
  16 Amino Acids
  24 Fatty Acids


HOSPITAL & HEALTH FACILITIES - Facts on hospitals,
hospital personnel, HMO's, and nursing homes for every county and
State and for the nation for a total of 640 data items. You will
have at your fingertips information on the number of Physical
Therapists, Occupational Therapists, Respiratory Therapists,
Speech Pathologists, Audiologists, Radiographers, Dental
Residents, Medical Residents, Administrators, and more. Data are
available for every county, state, and the nation. The data were
collected by the Department of Health and HUman Services, Bureau
of Health Professions. Historical data back to 1970 is provided
for many of the categories. Also included is information on the
number of hospitals with AMA Residency, JCAH
accreditation, AOHA accreditation, Blue Cross
participation and Medicare certification. Subsets
for single states are available for $45.

GENERAL PROGRAM SET

Analysis of Variance:

1ANOVA, 2ANOVA, 3ANOVA - Analysis of variance for one-way,
two-way, and three-way factorial analysis of variance with balanced
replicates.
1XANOVA, 2XANOVA - One- and two-way factorials with unbalanced
replicates.
2NESTED, 3NESTED - Analysis of variance for two- and three-way
factorials with nested factors.
1REPEAT - Single-factor (AxS) repeated measure design.
2REPEAT - Two-factor (AxBxS) and Ax(BxS) designs.
2RSANOVA, 3RSANOVA, & 4RSANOVA - Analysis of variance and
regression fit to 2-, 3-, and 4-dimensional orthogonal response
surfaces.
2KFACTOR - The analysis of variance of 2^k
factorial experiments.
BIBLOCK - Balanced incomplete block designs.
BLOCFACT - The analysis of variance of various blocked
2^k
factorial experiments.
BLKANOVA - Analysis of variance for complete randomized
block
experiments.
BLKCOVAR - A randomized block experiment with a single
covariate.
COVARIAT - Analysis of variance of a two-way factorial
with a
covariate.
DUNCAN - The analysis of the significance of differences
between
means (at the 5% level) using Duncan's multiple range test.
EDIT, ARRAY - Data entry and editing facilities
for orthogonal arrays
to be used by the program ORTHOGNL.
FRACFACT - The analysis of variance of 2^k
fractional factorial
experiments.
GREEK - Greek square experiments with replicates.
LATIN - Latin square experiments with replicates.
ORTHOGNL - The analysis of variance (random effects model) of
orthogonal arrays of all types.
YOUDEN - Incomplete Latin 'square' experiments.

Cluster Analysis:

AGGLOM - A collection of five clustering techniques, including the
minimum spanning tree, producing data which can be used for the
construction of dendograms.
ALLOCATE - Clustering using arbitrary allocation procedures.
BONDERG - Clustering according to a bond-energy criterion.
DIVIDE - Divisive clustering using the K-Means procedure, by which
each clustered data set is successively divided into two new clusters
until a maximum number of cluster is obtained.
K-MEANS - Clustering according to the popular K-Means criterion.
MTXINPUT - A general purpose program for the entry of data in
matrix form.
NEIGHBOR - Classification according to a nearest-neighbor
criterion.
NVARIANT - The adaptation of the K-Means technique to an
objective function which is invariant to non-singular transformations.
PARTPART - Three 'partitioning' clustering routines; the maximum
and minimum number of clusters to be formed is user-defined.
Assignment to clusters is according to threshold values.
SUMOFSQR - Four routines which use an objective function
dependent on the sum of squares of the distances between objects
and the cluster centroids. The maximum number of cluster is
user-defined. The program contains both the H-Means and the
K-Means criteria.
TRANSFRM - Transformation of the data matrix so that the mean
and variance is scaled to unity.
TREELINE - A graphics program for the display of dendograms.

Decision Analysis Programs:

BAYES - The calculation of "posterior" probability by Bayes'
Theorem.
DTABLE - Decision tables using utility, monetary, or opportunity loss
criteria, with or without Bayesian probabilities.
DTREE - The analysis of decision trees, with or without Bayesian
probabilities.
ELECTRE - Decision making using the ELECTRE technique. The
technique involves the comparison of rated qualities of things or
people, taking into account those attributes which are found to be
strongly positive or strongly negative in the evaluation process.
TREE - The analysis of a sorted decision tree.
UTILITY - The calculation of utility probabilities using different utility
functions.

Distributions and Inference:

BDIST - The binomial, hypergeometric, exponential, gamma, beta,
Pascal, Poisson, Weibull, normal, chi-square, t,
and F distributions
CONTINGE - RxC contingency tables. The program TABULATE also
provides a contingency calculation.
DIST - Calculates the probabilities P and Q for the cumulative normal,
chi-square, t, and F distributions given the value of the variate and
the degrees of freedom.
GAMBLER - How quickly you will go broke even if you know the
odds.
HYPOTEST - This program contains the most used hypothesis tests
for comparison of means and variances. The program calculates the
probabilities associated with the test statistic.
INVDIST - The inverse of DIST. Given a probability p and the degrees
of freedom, this program provides an approximate value of the
variate of the frequency distribution.
NONCDIST - Calculates the probabilities P and Q for the t,
chi-square, and F non-central cumulative frequency distributions
given values of the variate, the degrees of freedom, and the
non-centrality parameter.
NONPARAM  - Critical values and factors for common non-
parametric hypothesis tests.
RANKCORR - Rank correlations of data sets.

EDA Techniques:

BOXPLOT - Box and whisker plots; a graphical method of looking
at the major features of data. Data points falling within the central
part of a distributions are fitted into a 'box', with outlying data as
'whiskers' on either side.
CODEDTBL - The examination of tabular data in graphical code
form to check for hidden structure within the data.
CONDPLOT - Condensed plots are similar to standard plots except
that the symbol for the point being plotted is used to convey
information. The result is that the graphical display can convey more
information than a standard graph.
EDATA - Data entry and handling for all EDA programs.
FROOT - The calculation of froots (folded roots), ffroots, flogs (folded
logs), and fflogs.
LETRVALU - The summary of a data examination in terms of letter
value codes, allowing the development of patterns from
non-numeric data.
MDPOLISH - Discovering a common pattern in data sets by median
polish. The procedure is analogous to the analysis of variance with
the data being 'polished' by sweeping out the medians to leave a
residual pattern.
PRRATIO - The preparation of product-ratio plots.
ROOTGRAM - The fitting of a distribution to data by means of a
rootogram, which is similar to a histogram using the square root of
the value. A normal distribution is fitted to the result and the
deviations from normality plotted.
RTNTLINE - A quick substitute for regression analysis by finding the
resistant line which fits through a set of data
points. The procedure is 'resistant' to the effects of outliers.
SMOOTH - A moving average and hanning data smoothing
program, adjusted for the effects of end points and to avoid the
'phase shift' associated with smoothing. The data are divided into
the smoothed data and the residuals.
STEMLEAF - The analysis of data in stem and leaf displays to show
overall trends and patterns.

File Transfers:

DIFTRANS - Transfer of data from a DIF file generated by a
spreadsheet program.
READFILE - This program will read files prepared by Lotus 1,2,3,
and dBASE III, and any DIF file and will produced a PRN or TXT
columnar text file.
TRANSFER - A delimited columnar text file can be converted into a
form which is accepted by various Lionheart programs; conversely,
files created by Lionheart programs can be converted into a form
which can be accepted by a spreadsheet.
WRITEDBF - This program will take a columnar text file and produce
a file which can be read by dBASE III.
WRITEDIF -This program will take a columnar text file and produce
a DIF file.
JAZZ, MULTIPLN - Files produced by Lionheart programs can
be converted into the format of these popular spreadsheet programs.

Forecasting and Time-Series Analysis:

ADSERIES - A utility program which allows the addition (and
subtraction) of series.
ARIMA - Forecasting with an ARIMA(3,0,2) model. An advanced
example of Box-Jenkins technology.
AUTOREG and AUTOREGA - The autoregression of a time-series
using up to nine lags.
BJFCAST - Forecasting by the Box-Jenkins three-parameter
smoothing technique.
CORRLATE - (i) The cross-correlation of two time-series, and (ii) the
calculation of coefficients of autocorrelation and partial
autocorrelation for a time-series.
DURBIN - The Durbin-Watson test for correlation of residuals.
EXPFCAST - Forecasting by single and double exponential
smoothing techniques
FFT - Fast Fourier transform for spectrum analysis.
KALMAN - Adaptation of the Kalman filter technique to the forecasting
procedure.
LREG - A regression fit of one time-series to up to three other lagged
time-series.
MAVFCAST - Forecasting by single and double moving average
smoothing techniques
NEWINDEX - A utility program to change the time index of a time-
series.
NORMLIZE - A utility program which allows the  multiplication (or
division) of one series by another.
ORCUTT - The Cochran-Orcutt correction to time-series which
shows serial correlation of the residuals.
PERIOD - Analyzing the periodicity of seasonal and cyclical
time-series.
POLYREG - Fitting a polynomial to find the trend in a non-seasonal
time-series.
REGFCAST - A regression model for a seasonal time-series with a
linear trend.
TESTDATA -  A utility program to produce data for the testing of
various programs.
TESTPOLY and POLYDATA - Data files for the testing of POLYREG.
TSDATA - Data handling and transformation for time-series; data
transformations and differencing facilities are provided.
TRANREG - The relationship between two time-series in terms of a
transfer function.
TRENDREG - Finding a polynomial trend in a seasonal series.
WINTERS - The application of Winter's method for the
forecasting of seasonal time-series.

Graphics

ROOTGRAM - The fitting of a normal distribution to data by means
of a rootogram (similar to a histogram but using the square root of
the frequencies).
RTNTLINE - A quick substitute for regression analysis by finding the
'resistant line' which fits through a set of data points.
SMOOTH - A moving average data smoothing program which
separates data into a smoothed part and a residual part. Corrections
for 'phase shift' and for the effects of end points are provided.
CONDPLOT - Condensed plots are similar to standard plots except
that the symbol for the point being plotted is used to convey
information. The result is that the graphical display can convey more
information than a standard graph.
GRAPH - A general purpose (but device dependent) graphics
program which produces histograms and bar charts, pie charts,
graphs, and three-dimensional plots of data.

Mathematical Programming:

ASSIGN - The optimum assignment of people to tasks; an exact
solution to the assignment problem.
DISTRIB - An adaptation of the Monte Carlo technique to study the
distribution problem.
GOAL - The application of linear programming to the optimum
attainment of conflicting goals.
LINEAR - A general linear programming program for decision by
optimization of a linear model. This program uses a Monte Carlo
technique, and can handle '<=" constraints.
OPTIMIZE - A general purpose program for the optimization
of user-defined functions.
NONLIN - A general non-linear model with '<=' constraints handled
by a Monte Carlo calculation.
QUADRATC - A Monte Carlo calculation for the quadratic
programming problem which can handle '<=' constraints.
ROUTE - The travelling salesman problem.
SIMPLEX - The full-scale implementation of the Simplex algorithm
using '<=', '>=', and '=' constraints. Parameterization of the
various coefficients is allowed; sensitivity analysis is handled by
parameterization or by variation of individual coefficients.
TRANSPRT - The transportation problem (similar to DISTRIB).

Matrix Handling Programs:

CHOLESKY - The Cholesky decomposition of a matrix and the
subsequent solution of the normal equations.
EIGENVAL - A program for the calculation of the eigenvalues and
eigenvectors of symmetric matrices.
EQUATION - The solution of simultaneous equations using
the Gauss-Jordan technique.
MATINV - The inversion of a semi-definite matrix.
MATRIX - A utility program which handles simple matrix operations
such as addition, multiplication, finding the transpose, and so forth.
MTXDIAG - A program for the diagonalization of non-symmetric
matrices; the calculation of the eigenvalues and eigenvectors.
MTXPRINT - A program for the display and printing of matrices.
MTXINV - A program for the inversion of matrices.
MTXINPUT - A program for the creation of matrix data files.
ROOTS - Finding the eigenvalues and eigenvectors of a matrix that
has been reduced to tri-diagonal form.
SIMLEQN - The solution of simultaneous equations using the
Gauss-Jordan technique, the Gauss-Seidel relaxation technique,
and the least squares techniques for over-determined sets.
SINGULAR - Finding the eigenvalues of a singular or near-singular
matrix.
TRIDIAG - Manipulation of a symmetric matrix into tri-diagonal form.

Multivariate Analysis:

CANON, and CANONICL - Canonical component analysis.
CLASSIFY - The classification of subjects into groups according to
prior probabilities and test scores.
CMATRIX - The generation of a correlation matrix from a set of
scores.
COVAR - MANOVA with a covariate.
DISCRIM - Factor discriminant analysis.
FACTOR - Factor analysis.
FDISCRIM - A balanced MANOVA with factorial discrimination.
FSCORES - The calculation of factor scores.
MANOVA - Multivariate analysis of variance for factor sets with
unbalanced replicates.
MULTCORR - Multiple correlation analysis, generating beta weights,
regression coefficients, tests of significance, etc.
PARTCORR - Part and partial correlation coefficients and their
analysis.
PRINCOMP - Principal component analysis.
QUADDISC - Quadratic and linear factor discriminant analysis.
RESIDUAL - The analysis of the residuals after factor component
analysis.
ROTATE - The rotation of factor combinations.
SCORCOEF - Factor score coefficients.
STEPDISC - Stepwise discriminant analysis.

Quality Control:

Quality control charts reproduce, as far as is possible, the standard
charts defined by the ASQC.

ATTRIBUT - Charts for attributes, including p-charts, d-charts, and
u-charts, with fixed sample sizes.
CONTROL  - Parameters for designing quality  control charts.
CUSUM - Cumulative sum charts.
MOVINGR - Moving range charts.
PARETO - Pareto charts for distributions.
P-CHART - p-Charts with variable sample sizes.
%D-CHART - Percentage defective charts.
LOSS -  Taguchi-style 'loss' calculations.
RELIABLE - Reliability functions and their use.
XBAR&R - X-bar and range charts for fixed sample sizes.
XR-CHART - X-bar and range charts for variable sample sizes.

Regression:

DURBIN - The Durbin-Watson test for correlation among residuals.
MREG - Multilinear regression with up to eight independent
variables. Step-by-step regression  is also provided. The algorithm
does not use a matrix inversion procedure and is highly accurate.
MREGDATA - The data entry and transformation program for MREG.
and for any other multilinear regression program.
MVDATA - The data entry and handling program for MVREG.
MVREG - Multivariate regression with an indefinite number of
variables. The program produces the correlation matrix, beta
weights, and so forth, as well as the usual regression results.
MVREGA - Multilinear regression using a Cholesky decomposition
technique. The program is capable of handling and signalling
possible dependence between independent variables.
MVREGW - Similar to MVREG but with the provision of weights to
the data points.
ORTHOREG - Regression using orthogonal polynomials up to the
sixth order.
REGGEN, TESTORTH - Utility programs for testing
MREG and ORTHOREG.
RIDGE - Ridge regression.
R-TEST - Miscellaneous tests on sets of residuals.
WREG - Simple linear regression with weighted frequencies.
WREGDATA - The data entry program for WREG.

Sampling and Misc. Data Entry:

DATA - For the initial study of statistical data. This program allows
you to enter sequences of numbers, calculates their means and
sample variances, then generates t and F statistics to compare
means and sample variances.
PRINTAB - A utility program for TABULATE which takes the data and writes
it to disk in a form which can be handled by a word processor for
report preparation. Facilities for elimination of rows and/or columns
of the original data are provided.
SORT - A data sorting program.
SAMPLE - Stratified sampling, cluster sampling, sequential
sampling, binomial and hypergeometric sampling schemes.
SMPLSIZE - How to estimate the sample size needed in
experiments.
TABULATE - Cross-tabulations and correlations. This program is
intended for the handling of questionnaire data and provides
elaborate facilities for data entry and editing, for the study of
correlations and associations.
TNUMBER - Generation of random sets of telephone numbers
to be used for surveys. The numbers can be sorted by area code or
by exchange.

Scheduling and Project Planning:

ASSIGN - The optimum assignment of people to tasks.
CPDATA - Data entry and handling for PERT and CRITPATH
PERT - Project scheduling using the PERT technique.
PLANNER - A full-featured project planning program based on the
critical path methods. Sub-programs print out Gannt charts, prepare
resource analysis, allow the entry of holidays data, and so forth. The
program collection cal handle all features of project planning for projects
of up to 2,000 activities.
CRITPATH - Finding the critical path through a network of
activities. Data on all activities, critical or not, are printed
out, giving the latest starting time, the earliest finishing
time, and so forth. Full and selective crashing is allowed.
SCHEDULE - Near optimal job shop scheduling.

Simulation:

1-NQUEUE, N-1QUEUE, N-MQUEUE - Monte Carlo simulations of
queuing behavior used for management purposes.
FINANCL - Optimization of financial portfolios on the basis of
minimum risk, maximum utility, maximum return, or maximum
capital appreciation.
INVNTORY - A Monte Carlo simulation of inventory management.
INVENTRY - Optimum inventory management.
QUEUE - Steady-state queuing and waiting problems with
deterministic or probabilistic input.
RANDOM - The generation of random numbers which follow
different probability distributions.
RISK - A Monte Carlo simulation of financial risk
analysis and of management problems
for the optimization of holdings.
SIMQUEUE - The simulation of queuing behavior.
SIMULATE - A program to simulate the response of a user-
defined model to variations in input.

STATISTICAL & MANAGEMENT SOFTWARE
FOR BUSINESS, TECHNOLOGY, & SCIENCE

Professional Series:

Experimental Statistics                         $145
Business Statistics                             $145
Package of the above two statistics titles      $190
Forecasting and Time-Series                     $145
Sales and Market Forecasting                    $145
Package of the above two Forecasting titles     $200
Marketing Statistics                            $145
Quality Control and Industrial Experiments      $145
Exploratory Data Analysis                       $85
Project Planning (PERT & CPM)                   $145
Decision Analysis Techniques                    $145
Optimization                                    $145
Econometrics                                    $145
Simulations                                     $95
Biometrics                                      $145

Technical Series:

ANOVA                             $95
Inference                         $95
Regression                        $95
ARIMA Methods                     $95
Matrix Operations                 $95
Linear Programming                $95
Inventories and Queues            $95
Decision Trees and Tables         $95
Parameter & Tolerance Design      $95
Multivariate Analysis             $125
Cluster Analysis                  $125

Databases:

GNP Data                         $99
Financial & Economic             $99
International Data               $390
ZIP Code Directory               $140
County & City                    $240
County Business                  $240
County Demographics              $160
Government Addresses             $190
Health Profession                $160
Prescription Drugs               $240
Foods and Nutrition              $99
Hospital & Health Facilities     $190

VISA, MC, AMEX, Check

Shipping and handling expenses are extra. ($7/title in North America)

Lionheart Press, Inc., PO Box 379, Alburg, VT, 05440

Tel: [phone]
FAX: [phone]