2007•Unpublished venueRequires access

Generalized Linear Models

Michael J. Crawley

Abstract

This chapter contains sections titled: Error Structure Linear Predictor Link Function Canonical Link Functions Proportion Data and Binomial Errors Count Data and Poisson Errors Deviance: Measuring the Goodness of Fit of a GLM Quasi-likelihood Generalized Additive Models Offsets Residuals Misspecified Error Structure Misspecified Link Function Overdispersion Bootstrapping a GLM

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Available abstract

Key concepts: Overdispersion, Generalized linear model, Quasi-likelihood, Deviance (statistics), Mathematics, Count data, Statistics, Negative binomial distribution