An Introduction to Categorical Data Analysis / Edition 1

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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.
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Editorial Reviews

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

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

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

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

"This is an introductory book and as such it ismarvelous...essential for a novice..." (MAA Reviews, June26, 2007)

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Product Details

  • ISBN-13: 9780471113386
  • Publisher: Wiley, John & Sons, Incorporated
  • Publication date: 2/28/1996
  • Series: Wiley Series in Probability and Statistics Series, #308
  • Edition description: Older Edition
  • Edition number: 1
  • Pages: 312
  • Product dimensions: 6.41 (w) x 9.58 (h) x 0.82 (d)

Meet the Author

ALAN AGRESTI, PhD, is Distinguished Professor Emeritus in the Department of Statistics at the University of Florida. He has presented short courses on categorical data methods in thirty countries. Dr. Agresti was named "Statistician of the Year" by the Chicago chapter of the American Statistical Association in 2003. He is the author of two advanced texts, including the bestselling Categorical Data Analysis (Wiley) and is also the coauthor of Statistics: The Art and Science of Learning from Data and Statistical Methods for the Social Sciences.

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Table of Contents

1 Introduction 1
2 Two-Way Contingency Tables 16
3 Three-Way Contingency Tables 53
4 Generalized Linear Models 71
5 Logistic Regression 103
6 Loglinear Models for Contingency Tables 145
7 Building and Applying Logit and Loglinear Models 174
8 Multicategory Logit Models 205
9 Models for Matched Pairs 226
10 A Twentieth-Century Tour of Categorical Data Analysis* 257
Appendix: SAS and SPSS for Categorical Data Analysis 267
Table of Chi-Squared Distribution Values for Various Right-Tail Probabilities 279
Bibliography 281
Index of Examples 283
Subject Index 285
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