Includes bibliographical references (p. 485-513) and index.
"This book introduces the statistical theory, analysis methods, and computation techniques for exact analysis of discrete data. After reviewing the relevant discrete distributions, the author develops the exact methods from the ground up in a conceptually integrated manner. The topics covered range from univariate discrete data analysis, a single and several 2 2 tables, a single and several 2 K tables, incidence density and inverse sampling designs, unmatched and matched case-control studies, paired binary and trinomial response models, and Markov chain data. While most chapters focus on statistical theory and applications, three chapters deal exclusively with computational issues. Detailed worked examples appear throughout the book, and each chapter includes an extensive problem set." "Written at an elementary to intermediate level, Exact Analysis of Discrete Data is accessible to anyone having taken a basic course in statistics or biostatistics, bringing to them valuable material previously buried in specialized journals."--BOOK JACKET.
1. Discrete distributions -- 2. One-sided univariate analysis -- 3. Two-sided univariate analysis -- 4. Computing fundamentals -- 5. Elements of conditional analysis -- 6. Two 2 2 tables -- 7. Assessing inference -- 8. Several 2 2 tables : I -- 9. Several 2 2 tables : II -- 10. 2 K table -- 11. Polynomial algorithms : I -- 12. Polynomial algorithms : II -- 13. Multinomial models -- 14. Matched and dependent data -- 15. Reflections on exactness.