Ravishanker and Dey (both statistics, U. of Connecticut) present this intermediate-level statistics textbook designed for senior undergraduate and first-year graduate students. The text covers the standard theory of linear models, with numerous applications in simple and multiple regression, and fixed, random, and mixed-effects models; introduces generalized linear models with examples; and presents some current topics, including Bayesian linear, general additive, dynamic linear and longitudinal models. The text is written for a two-semester course, but includes suggested adaptions to a one-semester course. Requires some knowledge of statistics, including elementary sampling distributions, basic estimation theory and hypothesis testing at an undergraduate level. Annotation c. Book News, Inc., Portland, OR (booknews.com)