Categorical data analysis

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...

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Bibliographic Details
Main Author: Agresti, Alan (Author)
Format: Book
Published: New York Wiley 1990
©1990
Series:Wiley series in probability and mathematical statistics
Subjects:
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Summary: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 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.
Item Description:"A Wiley-Interscience publication
Physical Description:xv, 558 pages illustrations 24 cm
Bibliography:Includes bibliographical references (page 508-540)
ISBN:0471853011