An Introduction to Categorical Data Analysis / Edition 3

An Introduction to Categorical Data Analysis / Edition 3

by Alan Agresti
ISBN-10:
1119405262
ISBN-13:
9781119405269
Pub. Date:
11/20/2018
Publisher:
Wiley
ISBN-10:
1119405262
ISBN-13:
9781119405269
Pub. Date:
11/20/2018
Publisher:
Wiley
An Introduction to Categorical Data Analysis / Edition 3

An Introduction to Categorical Data Analysis / Edition 3

by Alan Agresti
$163.75
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Overview

A non-technical introductory featuring the most important techniques for analyzing categorical data such as classical inferences for two-and-three way contingency tables, logistic regression, log linear models and matched-pairs data. Contains more than 200 exercises and more than 100 examples of authentic data sets. An appendix describes the use of computer packages to perform analyses in the text.

Product Details

ISBN-13: 9781119405269
Publisher: Wiley
Publication date: 11/20/2018
Series: Wiley Series in Probability and Statistics
Edition description: 3rd ed.
Pages: 400
Product dimensions: 7.20(w) x 10.10(h) x 1.10(d)

About the Author

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).

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Table of Contents

Two-Way Contingency Tables.
Three-Way Contingency Tables.
Generalized Linear Models.
Logistic Regression.
Loglinear Models for Contingency Tables.
Building and Applying Logit and Loglinear Models.
Multicategory Logit Models.
Models for Matched Pairs.
A Twentieth-Century Tour of Categorical Data Analysis.
Appendix.
Table of Chi-Squared Distribution Values for Various Right-Tail Probabilities.
Bibliography.
Indexes.

What People are Saying About This

From the Publisher

"Yes, I fully recommend the text as a basis for introductory course, for students, as well as non-specialists in statistics.  The wealth of examples provided in the text is, from my point of view, a rich source of motivating ones own studies and work." (Biometrical Journal, December 2008)

"This text does a good job of achieving its state goal, and we enthusiastically recommend it." (Journal of the American Statistical Association, September 2008)

"This book is very well-written and it is obvious that the author knows the subject inside out." (Journal of Applied Statistics, April 2008)

"Provides an applied introduction to the most important methods for analyzing categorical data, such as chi-squared tests and logical regression." (Statistica 2008)

"This is an introductory book and as such it is marvelous...essential for a novice..." (MAA Reviews, June 26, 2007)

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