In generalized linear models, the response is assumed to possess a probability distribution of the exponential form. That is, the probability density of the response Y for continuous response ...

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, ...

Note that this is not in general a likelihood-based method of estimation ... of the inverse of the Fisher information matrix that is often used in generalized linear models as an estimator of the ...