About this document
Introduction to Generalized Linear Models by Salsa Bila is a document available to read on EtoBox.
This document provides an introduction to generalized linear models (GLM). It discusses that GLM extends linear regression to response variables that are not normally distributed. The course will focus on binary and count data. It outlines the components of a GLM including the random component from an exponential family distribution, the linear predictor, and link function. It also discusses how the normal linear model is a special case of GLM.
- Author
- Salsa Bila
- Language
- EN