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.
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“...the essential reference text for statisticians...comprehensive and readable...” ( Statistical Methods in Medical Research , Vol. 14, 2005) "...careful, thorough, up–to–date volume...the new content and emphases in the second edition are sufficient to justify its purchase even by someone who already owns the first edition." ( Journal of the American Statistical Association , June 2004) "I liked this revised edition and recommend it highly to statisticians and graduate students." ( Journal of Statistical Computation & Simulation , March 2004) "...a highly satisfactory text on methods for categorical response variables...more complete and technical [than the First Edition ]..." ( IIE Transactions on Quality and Reliability Engineering ) "If you own the 1E, you absolutely need to upgrade to the 2E. If you do any analysis of categorical data, this is an essential desktop reference..." ( Technometrics , Vol. 45, No. 1, February 2003) "...this classic book is substantially modified and expanded..." ( International Journal of General Systems , Vol. 32, 2003) "...it is a total delight reading this book, which should be considered as the current standard textbook for teaching analysis of categorical data." ( Pharmaceutical Research , Vol. 20, No. 6, June 2003) "...written in a highly scientific but vivid style, intelligible for all researchers in that field...simply expressed, grand..." ( Zentralblatt Math , 2004)
“...the essential reference text for statisticians...comprehensive and readable...” ( Statistical Methods in Medical Research , Vol. 14, 2005) "...careful, thorough, up–to–date volume...the new content and emphases in the second edition are sufficient to justify its purchase even by someone who already owns the first edition." ( Journal of the American Statistical Association , June 2004) "I liked this revised edition and recommend it highly to statisticians and graduate students." ( Journal of Statistical Computation & Simulation , March 2004) "...a highly satisfactory text on methods for categorical response variables...more complete and technical [than the First Edition ]..." ( IIE Transactions on Quality and Reliability Engineering ) "If you own the 1E, you absolutely need to upgrade to the 2E. If you do any analysis of categorical data, this is an essential desktop reference..." ( Technometrics , Vol. 45, No. 1, February 2003) "...this classic book is substantially modified and expanded..." ( International Journal of General Systems , Vol. 32, 2003) "...it is a total delight reading this book, which should be considered as the current standard textbook for teaching analysis of categorical data." ( Pharmaceutical Research , Vol. 20, No. 6, June 2003) "...written in a highly scientific but vivid style, intelligible for all researchers in that field...simply expressed, grand..." ( Zentralblatt Math , 2004) “Each chapter ahs been extensively rewritten...gives an overview of methods for analyzing categorical data, both older, now standard methods, and methods developed in recent years.” ( Quarterly of Applied Mathematics , Vol. LXI, No. 2, June 2003)
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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