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- From: R0264@vmcms.csuohio.edu
- Subject: Question on Balanced Random Sequences
- Message-ID: <168BFBA7E.R0264@vmcms.csuohio.edu>
- Sender: news@news.csuohio.edu (USENET News System)
- Organization: CSU
- Date: Wed, 16 Dec 1992 18:15:42 GMT
- Lines: 25
-
- For ANOVA design applications I want info about one-dimensional
- sequences of trials on each of which a single treatment is administered.
- The parameters are m (number of distinct treatments), n (treatment n-gram
- length), and f (frequency of occurrence of each of the m**n possible
- distinct n-grams). The constrain in the randomization is that there be
- f*m**n (using Fortran notation for mult. & expon.) trials in the main
- sequence, in addition to a preamble of length n-1 on which observations
- of the dependent variable are not used. The purpose is for testing
- for carryover effects from previous treatments as well as direct effects
- of treatments on current trials. The simplest cases of f=1 and n=1
- give ordinary random permutations of the m treatments, but the tests
- envisioned for carryover effects require n > 1.
- I already have a way of generating plenty of these sequences, but
- have not been able to prove whether or not the method is biased relative
- to the complete sample spaces whose sizes I don't even know, except that
- they are quite large in most cases of interest.
- Randomized-block and latin-square theory is too restrictive, though
- Williams (1949,1950, Austr. J. Sci. Res.) and Cox (1958,p.276) used
- modified latin squares for a few simple special cases.
- I know a little more about these sequences than is appropriate to
- expound here, but suspect that someone must know a lot more than I do.
- suggestions or references to books and journal articles would be welcome
- via return posting or e-mail.
- Phil Emerson
- Cleveland State University
-