Constrained Maximum Likelihood (CML)

Solves general maximum likelihood problems by incorporating linear and nonlinear, equality and inequality constraints on parameters. Incorporates new techniques for statistical inference in maximum likelihood models, constrained or unconstrained models.

The GAUSS(TM) Application - Constrained Maximum Likelihood is provided in GAUSS source code, allowing the user flexibility to customize and extend it's capabilities.

IRIX version compatibility: 6.2

Greg Mead

Sales Manager
Aptech Systems, Inc.
23804 S.E. Kent-Kangley Rd.
Maple Valley, WA 98038
USA
206-432-7855
206-432-7832 (fax)
gregm@aptech.com

For applications in related solution areas, see the following indices: Biology, Computer Aided Modeling, Software Development Tools, Statistics & Data Analysis, the developer index for Aptech Systems, Inc. and the product category index for Math, Physics, Other Sciences.