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Introduction to Categorical Data Analysis (Wiley Series in Probability and Statistics)

Introduction to Categorical Data Analysis (Wiley Series in Probability and Statistics)

by Alan Agresti (Author)

  • Used

    Hardcover 1996

    $10.14
Synopsis

A non-technical introduction 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 approximately 100 examples of authentic data sets.

$10.14

Quantity

1 in stock

More Information

Format: Hardcover
 Pages: 312
 Publisher: John Wiley & Sons
Published: 11 Mar 1996
ISBN 10: 0471113387
ISBN 13: 9780471113386

Media Reviews
This is a superb text from which to teach categorical data analysis, at a variety of levels. ... This book can be very highly recommended. (Short Book Reviews, Vol. 16, No 3, Dec. 1996) ...of great interest to potential readers is the variety of fields that are represented in the examples: Health care, financial, government, product marketing, and sports, to name a few. (Journal of Quality Technology, Vol. 29, No. 4, Oct. 1997) ...Alan Agresti has written another brilliant account of the analysis of categorical data. ... It is bad enough that Professor Agresti can write excellent books on his topic for statisticians - it is almost unforgivable that he can repeat his successful formula for applied researchers and students. (The Statistician, Vol. 46 No. 1, 1997) Alan Agresti has done it again. He has written another excellent text, which is destined to be a best seller. ... Agresti's text provides an excellent introduction to categorical data analysis... (Choice, 1997, no date given Carolyn J. Anderson)
Author Bio
ALAN AGRESTI is a professor in the Department of Statistics at the University of Florida. He has published extensively and has served on the editorial boards of several journals. He is the author of two advanced texts, including the bestselling Categorical Data Analysis, and the coauthor of Statistical Methods for the Social Sciences.