ABSTRACT

The success of the first edition of Generalized Linear Models led to the updated Second Edition, which continues to provide a definitive unified, treatment of methods for the analysis of diverse types of data. Today, it remains popular for its clarity, richness of content and direct relevance to agricultural, biological, health, engineering, and ot

chapter 1|20 pages

Introduction

chapter 2|27 pages

An outline of generalized linear models

chapter 4|51 pages

Binary data

chapter 5|44 pages

Models for polytomous data

chapter 6|52 pages

Log-linear models

chapter 7|40 pages

Conditional likelihoods*

chapter 9|34 pages

Quasi-likelihood functions

chapter 10|15 pages

Joint modelling of mean and dispersion

chapter 11|19 pages

Models with additional non-linear parameters

chapter 12|28 pages

Model checking

chapter 13|13 pages

Models for survival data

chapter 14|23 pages

Components of dispersion

chapter 15|14 pages

Further topics