Wiley Series In Probability And Mathematical Statistics, Applied Probability And Statistics; 558 pages; foxing and stains to the exterior edges of textblock. Very Good condition otherwise. No other noteworthy defects. No markings. ; - We offer free returns for any reason and respond promptly to all inquiries. Your order will be packaged with care and ship on the same or next business day. Buy with confidence.

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Bibliographic Details

Title: Categorical Data Analysis,
Publisher: Wiley-Interscience, New York, NY
Publication Date: 1990
Language: English
ISBN 10: 0471853011
ISBN 13: 9780471853015
Binding: Hardcover
Edition: First Edition; Third Printing.
Condition: Fair
Dust Jacket Condition: Very Good

About this title

Synopsis

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:

Coverage of methods for repeated measurement data, which have become increasingly important in biomedical applications
Prescriptions for how ordinal variables should be treated differently than nominal variables
Derivations of basic asymptotic and fixed-sample-size inferential methods
Discussion of exact small sample procedures
More than 40 examples of analyses of "real" data sets, including: aspirin use and heart disease; job satisfaction and income; seat belt use and injuries in auto accidents; and predicting outcomes of baseball games
More than 400 exercises to facilitate interpretation and application of methods

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.

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