Models for Discrete Data
Editorial Reviews
Book Description
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.
Book Info
Describes the statistical models used in the analysis and summary of discrete data, and provides an introduction to the subject for graduate students and practitioners needing a review of the methodology.
Models for Discrete Data,Daniel Zelterman,Oxford University Press, USA,0198524366,Art,Biostatistics,Computer Books: Operating Systems,Epidemiology,General,Mathematics,Multivariate Analysis,Probability & Statistics - Multivariate Analysis,Epidemiology & medical statistics,Mathematical modelling,Mathematics / Statistics,Mathematics | Probability & Statistics,Medical research,Oncology,Probability & statistics
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