Generalized Linear Models (GLMs) provide an extension to OLR since response ... earn by looking at the type of program in which the student was enrolled (vocational, general or academic) and the score ...

As in the case of traditional linear models, fitted generalized linear models can be summarized through statistics such as parameter estimates, their standard errors, and goodness-of-fit statistics.

These types of situations can often be modeled well by a large class of regression models called generalized linear models (GLM). We will go over some of the basic statistical concepts of GLM and how ...

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 ...