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

Greg Mead

Sales Manager