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, ...

There are approximately a dozen common regression techniques, including ordinary linear regression ... Used for Data Smoothing In addition to prediction, NW kernel regression is often used for ...

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 ...