Categorical Data Analysis, (Wiley Series in Probability and Mathematical Statistics, Applied Probability and Statistics) Special features of the book include:Coverage of methods for repeated measurement data, which have become increasingly important in biomedical applicationsPrescriptions for how ordinal variables should be treated differently than nominal variablesDerivations of basic asymp
| Title | : | Categorical Data Analysis, (Wiley Series in Probability and Mathematical Statistics, Applied Probability and Statistics) |
| Author | : | |
| Rating | : | 4.94 (331 Votes) |
| Asin | : | 0471853011 |
| Format Type | : | Hardcover |
| Number of Pages | : | 576 Pages |
| Publish Date | : | 0000-00-00 |
| Genre | : |
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
Editorial : “…the essential reference text for statisticians…comprehensive and readable…” (Statistical Methods in Medical Research, Vol. 14, 2005)"careful, thorough, up-to-date volumethe 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 variablesmore 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
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