Includes bibliographical references (pages 479-499) and indexes.

An outline of generalized linear models -- Models for continuous data with constant variance -- Binary data -- Models for polytomous data -- Log-linear models -- Conditional likelihoods -- Models with constant coefficient of variation -- Quasi-likelihood functions -- Joint modelling of mean and dispersion -- Models with additional non-linear parameters -- Model checking -- Models for survival data -- Components of dispersion -- Further topics. Updated and expanded edition of a text for graduate and advanced undergraduate students of applied statistics. Differs most conspicuously from the 1983 edition in that exercises can now be found at the end of each of the fifteen chapters.