Alternative Computational Methods for Estimation of Logit Model Parameters.

摘要

In this paper we compare three different computational approaches for maximum likelihood estimation in logit situations: iterative proportional fitting, iteratively reweighted least squares as implemented in GLIM , a variant of Newton's method applied in a somewhat different form for loglinear and logit formulations.