Discrete Multivariate Analysis

Zusatztext

6. 2 The Two-Sample Capture-Recapture Problem. 231 6. 3 Conditional Maximum Likelihood Estimation of N. 236 6. 4 The Three-Sample Census. 237 6. 5 The General Multiple Recapture Problem. 246 6. 6 Discussion. 254 7 MODELS FOR MEASURING CHANGE. 257 7. 1 Introduction. 257 7. 2 First-Order Markov Models. 261 7. 3 Higher-Order Markov Models. 267 7. 4 Markov Models with a Single Sequence of Transitions. 270 7. 5 Other Models. 273 8 ANALYSIS OF SQUARE TABLES: SYMMETRY AND MARGINAL HOMOGENEITY. 281 8. 1 Introduction. 281 8. 2 Two-Dimensional Tables. 282 8. 3 Three-Dimensional Tables. 299 8. 4 Summary. 309 9 MODEL SELECTION AND ASSESSING CLOSENESS OF FIT: PRACTICAL ASPECTS. 311 9. 1 Introduction. 311 9. 2 Simplicity in Model Building. 312 9. 3 Searching for Sampling Models. 315 9. 4 Fitting and Testing Using the Same Data. 317 9. 5 Too Good a Fit. 324 9. 6 Large Sample Sizes and Chi Square When the Null Model is False. 329 9. 7 Data Anomalies and Suppressing Parameters. 332 9. 8 Frequency of Frequencies Distribution. 337 10 OTHER METHODS FOR ESTIMATION AND TESTING IN CROSS-CLASSIFICATIONS. 343 10. 1 Introduction. 343 10. 2 The Information-Theoretic Approach. 344 10. 3 Minimizing Chi Square, Modi? ed Chi Square, and Logit Chi Square. 348 10. 4 The Logistic Model and How to Use It. 357 10. 5 Testing via Partitioning of Chi Square. 361 10. 6 Exact Theory for Tests Based on Conditional Distributions. 364 10. 7 Analyses Based on Transformed Proportions.

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