Analyzing Categorical Data

Jeffrey S. Simonoff

496 pages, parution le 07/08/2003

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Résumé

Categorical data arise often in many fields, including biometrics, economics, management, manufacturing, marketing, psychology, and sociology. This book provides an introduction to the analysis of such data. The coverage is broad, using the loglinear Poisson regression model and logistic binomial regression models as the primary engines for methodology. Topics covered include count regression models, such as Poisson, negative binomial, zero-inflated, and zero-truncated models; loglinear models for two-dimensional and multidimensional contingency tables, including for square tables and tables with ordered categories; and regression models for two-category (binary) and multiple-category target variables, such as logistic and proportional odds models.

All methods are illustrated with analyses of real data examples, many from recent subject area journal articles. These analyses are highlighted in the text, and are more detailed than is typical, providing discussion of the context and background of the problem, model checking, and scientific implications. More than 200 exercises are provided, many also based on recent subject area literature. Data sets and computer code are available at a web site devoted to the text.

Jeffrey S. Simonoff is Professor of Statistics at New York University. He is author of Smoothing Methods in Statistics and coauthor of A Casebook for a First Course in Statistics and Data Analysis, as well as numerous articles in scholarly journals. He is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics, and an Elected Member of the International Statistical Institute.

Introduction
Gaussian-Based Data Analysis
Gaussian-Based Model Building
Categorical Data and Goodness-of-Fit
Regression Models for Count Data
Analyzing Two-Way Tables
Tables with More Structure
Multidimensional Contingency Tables
Regression Models for Binary Data
Regression Models for Multiple Category Response Data

L'auteur - Jeffrey S. Simonoff

New York University, New York, NY, USA

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Jeffrey S. Simonoff
Parution	07/08/2003
Nb. de pages	496
Format	16 x 24
Couverture	Broché
Poids	835g
Intérieur	Noir et Blanc
EAN13	9780387007496
ISBN13	978-0-387-00749-6