Models for Discrete Data

Includes Examples in SAS

Daniel Zelterman

286 pages, parution le 16/02/2006

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Résumé

Discrete or count data arise in experiments where the outcome variables are the numbers of individuals classified into unique, non-overlapping categories. This revised edition describes the statistical models used in the analysis and summary of such data, and provides a sound introduction to the subject for graduate students and practitioners needing a review of the methodology. With many numerical examples throughout, it includes topics not covered in depth elsewhere, such as the negative multinomial distribution; the many forms of the hypergeometric distribution; and coordinate free models. A detailed treatment of sample size estimation and power are given in terms of both exact inference and asymptotic, non-central chi-squared methods. A new section covering Poisson regression has also been included. An important feature of this book, missing elsewhere, is the integration of the software into the text.

Many more exercises are provided (including 84% more applied exercises) than in the previous edition, helping consolidate the reader's understanding of all subjects covered, and making the book highly suitable for use in a classroom setting. Several new datasets, mostly from the health and medical sector, are discussed, including previously unpublished data from a study of Tourette's Syndrome in children.

L'auteur - Daniel Zelterman

Daniel Zelterman, Yale University

Sommaire

Introduction
Sampling distributions
Logistic regression
Log-linear models
Coordinate-free models
Additional topics
Appendix A: Power for chi-squared tests
Appendix B: Program for exact tests
Appendix C: The hypergeometric distribution
References
Selected solutions and hints
Index
Examples index
Author index
Subject index

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Oxford University Press
Auteur(s)	Daniel Zelterman
Parution	16/02/2006
Nb. de pages	286
Format	16 x 24
Couverture	Relié
Poids	571g
Intérieur	Noir et Blanc
EAN13	9780198567011
ISBN13	978-0-19-856701-1