An Introduction to Generalized Linear Models, Third Edition

Updated with Stata, R, and WinBUGS code as well as three new chapters on Bayesian analysis, this new edition of a bestseller continues to provide a cohesive framework for statistical modeling. Emphasizing numerical and graphical methods, it enables readers to understand the unifying structure that underpins GLMs. The text discusses common concepts and principles of advanced GLMs, including nominal and ordinal regression, survival analysis, and longitudinal analysis. It contains numerous examples from business, medicine, engineering, and the social sciences and offers the data sets and solutions to the exercises online.
• Chapman & Hall/CRC Texts in Statistical Science
Statistical Theory & Methods
Statistics for the Biological Sciences
Statistics & Probability
Textbook
Undergraduate