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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New York
Wiley
1990
©1990 |
| Series: | Wiley series in probability and mathematical statistics
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| Online Access: | Click Here to View Status and Holdings. |
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| 100 | 1 | # | |a Agresti, Alan |e author |
| 245 | 1 | 1 | |a Categorical data analysis |c Alan Agresti |
| 264 | # | 1 | |a New York |b Wiley |c 1990 |
| 264 | # | 1 | |c ©1990 |
| 300 | # | # | |a xv, 558 pages |b illustrations |c 24 cm |
| 336 | # | # | |a text |2 rdacontent |
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| 490 | 1 | # | |a Wiley series in probability and mathematical statistics |
| 500 | # | # | |a "A Wiley-Interscience publication |
| 504 | # | # | |a Includes bibliographical references (page 508-540) |
| 520 | # | # | |a 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. |
| 650 | # | 0 | |a Multivariate analysis |
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Categorical data analysis 
AN INTRODUCTION TO CATEGORICAL DATA ANALYSIS