An Introduction to Generalized Linear Models

An Introduction to Generalized Linear Models, Fourth Edition provides a cohesive framework for statistical modelling, with an emphasis on numerical and graphical methods. This new edition of a bestseller has been updated with new sections on non-linear associations, strategies for model selection, and a Postface on good statistical practice.

Annette J. Dobson is Professor of Biostatistics at the Univesity of Queensland. Adrian G. Barnett is a professor at the Queensland University of Technology.

Introduction. Model Fitting. Exponential Family and Generalized. Linear Models.Estimation. Inference. Normal Linear Models. Binary Variables and Logistic Regression. Nominal and Ordinal Logistic Regression. Poisson Regression and Log-Linear Models.Survival Analysis. Clustered and Longitudinal Data. Bayesian Analysis. Markov Chain Monte Carlo Methods. Example Bayesian Analyses. Postface. Appendix.