An Introduction to Categorical Data Analysis

Alan Agresti (University of Florida, Gainesville)

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English

John Wiley & Sons Inc
05 November 2018

Data analysis: general; Calculus & mathematical analysis; Data capture & analysis

Series: Wiley Series in Probability and Statistics

A valuable new edition of a standard reference

The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data.

Adding to the value in the new edition is:

• Illustrations of the use of R software to perform all the analyses in the book

• A new chapter on alternative methods for categorical data, including smoothing and regularization methods (such as the lasso), classification methods such as linear discriminant analysis and classification trees, and cluster analysis

• New sections in many chapters introducing the Bayesian approach for the methods of that chapter

• More than 70 analyses of data sets to illustrate application of the methods, and about 200 exercises, many containing other data sets

• An appendix showing how to use SAS, Stata, and SPSS, and an appendix with short solutions to most odd-numbered exercises

Written in an applied, nontechnical style, this book illustrates the methods using a wide variety of real data, including medical clinical trials, environmental questions, drug use by teenagers, horseshoe crab mating, basketball shooting, correlates of happiness, and much more.

An Introduction to Categorical Data Analysis, Third Edition is an invaluable tool for statisticians and biostatisticians as well as methodologists in the social and behavioral sciences, medicine and public health, marketing, education, and the biological and agricultural sciences.

By: Alan Agresti (University of Florida Gainesville)
Imprint: John Wiley & Sons Inc
Country of Publication: United States
Edition: 3rd edition
Dimensions: Height: 257mm, Width: 183mm, Spine: 28mm
Weight: 703g
ISBN: 9781119405269
ISBN 10: 1119405262
Series: Wiley Series in Probability and Statistics
Pages: 400
Publication Date: 05 November 2018
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

ALAN AGRESTI is Distinguished Professor Emeritus at the University of Florida. He has presented short courses on categorical data methods in 35 countries. He is the author of seven books, including the bestselling Categorical Data Analysis (Wiley), Foundations of Linear and Generalized Linear Models (Wiley), Statistics: The Art and Science of Learning from Data (Pearson), and Statistical Methods for the Social Sciences (Pearson).