With three new chapters on Bayesian analysis and substantial additions to their collection of code, Dobson (statistics, U. of Queensland) and Barnett (statistics, Queensland U. of Technology) have updated their popular text to include recent additions to curricula as well as practice. They first give readers background on distribution related to the normal distribution, quadratic forms and estimation, then cover model fitting, exponential family and generalized linear models, estimation (including maximum livelihood estimation and the Poisson regression example), 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, and the aforesaid chapters on Bayesian analysis, including a chapter on Markov Chain Monte Carlo methods and another of examples. Each chapter includes exercises. Annotation ©2008 Book News, Inc., Portland, OR (booknews.com)