ON THE CORNISH-FISHER EXPANSION IN FINITE POPULATION

Chapters in this book

1. Frontmatter I
2. CONTENTS V
3. PREFACE IX
4. I. ASYMPTOTIC DISTRIBUTIONS AND EXPANSIONS
5. ERROR BOUNDS FOR ASYMPTOTIC EXPANSIONS OF THE DISTRIBUTIONS OF THE CLASSIFICATION STATISTIC W AND RELATED STATISTICS 3
6. SOME RESULTS ON THE EMPIRICAL SPACINGS PROCESS AND ITS BOOTSTRAPPED VERSION 17
7. ON THE CORNISH-FISHER EXPANSION IN FINITE POPULATION 35
8. II. GENERAL LINEAR REGRESSION MODELS
9. ON PROPORTIONALITY OF REGRESSION COEFFICIENTS IN MISSPECIFIED GENERAL LINEAR REGRESSION MODELS 45
10. MORE ON PARTITIONED POSSIBLY RESTRICTED LINEAR REGRESSION 57
11. SIMPLER TESTS OF LINEAR INEQUALITY CONSTRAINTS IN THE STANDARD LINEAR MODEL 67
12. INCREASING THE CORRELATIONS WITH THE RESPONSE VARIABLE MAY NOT INCREASE THE COEFFICIENT OF DETERMINATION: A PCA INTERPRETATION 75
13. DISCUSSION ON THE PAPER OF C. M. CUADRAS "INCREASING THE CORRELATIONS WITH THE RESPONSE VARIABLE MAY NOT INCREASE THE COEFFICIENT OF DETERMINATION: A PCA INTERPRETATION" 85
14. TESTING LACK OF FIT IN MIXED EFFECT MODELS FOR LONGITUDINAL DATA 93
15. III. TESTS IN MULTIVARIATE STATISTICS
16. A PROJECTION NT-TYPE TEST FOR SPHERICAL SYMMETRY OF A MULTIVARIATE DISTRIBUTION 109
17. SOME APPLICATIONS OF DIRECTIONAL STATISTICS TO ASTRONOMY 123
18. SIMPLE METHODS FOR FITTING CIRCLES OR POINTS TO SPHERICAL DATA 135
19. IV. MULTIVARIATE NONPARAMETRIC MODELS AND THEIR APPLICATIONS
20. THE USE OF HELLINGER DISTANCE IN GRAPHICAL DISPLAYS OF CONTINGENCY TABLE DATA 143
21. BIVARIATE GENERALIZATIONS OF THE MEDIAN 163
22. DISTANCE-BASED REGRESSION IN SOME HELIOPHYSICAL DATA ANALYSIS 181
23. SOME APPLICATIONS OF MULTIVARIATE ANALYSIS IN ENVIRONMENTAL RESEARCH 197
24. METHODS FOR LONGITUDINAL SOCIAL NETWORK DATA: REVIEW AND MARKOV PROCESS MODELS 211
25. OPTIMAL INDUSTRIAL CLASSIFICATION 229
26. V. DISCRIMINATION AND CLASSIFICATION
27. SMALL SAMPLE PROPERTIES OF RIDGE-ESTIMATE OF THE COVARIANCE MATRIX IN STATISTICAL AND NEURAL NET CLASSIFICATION 237
28. TRIMMED k-MEANS AND THE CAUCHY MEAN-VALUE PROPERTY 247
29. ON SOME PROPERTIES OF k-VARIANCE 267
30. RANDOM MULTIGRAPHS, CLASSIFICATION AND CLUSTERING 279
31. VI. MATRICES IN STATISTICS
32. SHORTED MATRICES AND THEIR APPLICATIONS IN LINEAR STATISTICAL MODELS: A REVIEW 289
33. ARRAYS OF MULTIVARIATE STATISTICS AND THEIR REPRESENTATION 313
34. ON THE CALCULATIONS WITH THE INDEXIZED SETS OF DATA 325
35. ON STATISTICAL APPLICATIONS OF MATRIX MAJORIZATION 335