Popular for its accessible, concise, and clear introduction to this key statistical methodology, ''An Introduction to Generalized Linear Models, Third Edition'' provides a wealth of examples from such diverse fields as business, medicine, engineering, and the social sciences. Emphasizing graphical methods for exploratory data analysis and visualization, this new edition offers more material on Bayesian methodology and additional advice on implementing methods using statistical software. It also has updated the examples and exercises and includes an appendix of selected solutions, enhancing its suitability for self-study.