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Categorical Data Analysis describes the most important methods, offering a unified presentation of modeling using generalized linear models and emphasizing loglinear and logit modeling techniques. Contributions of noted statisticians (Pearson, Yule, Fisher, Neyman, Cochran), whose pioneering efforts set the pace for the evolution of modern methods, are examined as well.
Special features of the book include:
Categorical Data Analysis also contains an appendix that describes the use of computer software currently available for performing the analyses presented in the book. A comprehensive bibliography and notes and the end of each chapter round out the work, making it a complete, invaluable reference for statisticians, biostatisticians and professional researchers.
About the Author: About the author ALAN AGRESTI is a professor in the Department of Statistics at the University of Florida. Since receiving his PhD at the University of Wisconsin, he has published in many professional journals, including Journal of the American Statistical Association, Journal of the Royal Statistical Society, Biometrics, Statistics in Medicine, Psychometrika, and Sociological Methodology. He is also the author of the texts Statistical Methods for the Social Sciences and Analysis of Ordinal Categorical Data.
Title: Categorical Data Analysis, (Wiley Series in ...
Publisher: Wiley-Interscience
Publication Date: 1990
Binding: Hardcover
Condition: Good
Dust Jacket Condition: No Jacket