A SIMPLE JUSTIFICATION OF THE ITERATIVE FITTING PROCEDURE FOR GENERALIZED LINEAR-MODELS

The extension of classical linear models to generalized linear models has had an important unifying impact on the exposition, teaching, and practice of statistical modeling. This article gives a new and simple justification of the commonly used iteratively reweighted least square s procedure for obtaining maximum likelihood parameter estimates.