called the negative binomial dispersion parameter. This is not the same as the generalized linear model dispersion , but it is an additional distribution parameter that must be estimated or set to a ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

GENMOD uses maximum likelihood estimation to fit generalized linear models. This family includes models for categorical data such as logistic, probit, and complementary log-log regression for binomial ...