| Description |
xii, 468 pages : illustrations ; 24 cm |
| Series |
Wiley series in probability and statistics. Applied probability and statistics section |
|
Wiley series in probability and statistics. Applied probability and statistics.
|
| Contents |
1. The Tools of Statistical Inference -- 2. Distribution Theory for Count Data -- 3. Binary Contingency Tables -- 4. Binomial Regression Models -- 5. Smoothing Binomial Data -- 6. Poisson Regression Models -- 7. Conditional Inference |
| Summary |
"The ability to understand and analyze categorical, or count, data is crucial to the success of statisticians in a wide variety of fields, including biomedicine, ecology, the social sciences, marketing, and many more. Statistical Analysis of Categorical Data provides thorough, clear, up-to-date explanations of all important methods of categorical data analysis at a level accessible to anyone with a solid undergraduate knowledge of statistics."--BOOK JACKET |
| Notes |
"A Wiley-Interscience publication." |
| Bibliography |
Includes bibliographical references (pages 446-461) and index |
| Subject |
Multivariate analysis.
|
| LC no. |
98039058 |
| ISBN |
0471290084 (acid-free paper) |
|
