Models for Discrete Data Review

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(More customer reviews)The only review for this book is apparently by the author himself who says it's a great book. As he might be slightly biased in favor of his own writings a dissonant view is called for. Actually, he's right: this is an excellent book that brings together -- and explains as clearly as can do -- how to analyze statistically situations with discrete outcomes, determined by a large number of factors and where the interaction between those factors is potentially non-linear. A must-read for people who know how to run these methods on data in SAS but have no clue about the rationale behind them.

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Discrete or count data arise in experiments where the outcomes are countable and classified into unique, non-overlapping categories. This book describes the statistical models for evaluating such data. It provides an introduction for graduate students and a concise review for practitioners. The book provides the first in-depth coverage of a number of topics, including the negative multinormal distribution, the many forms of hypergeometric distribution, and coordinate-free models. A detailed treatment of the issues of sample size and power are given in terms of exact inference and asymptotic, non-central chi-squared approximations. Throughout the text, the author interweaves standard statistical software, particularly SAS, with practical examples and current theory.

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