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9780521826549

Multivariate T-Distributions and Their Applications

by
  • ISBN13:

    9780521826549

  • ISBN10:

    0521826543

  • Format: Hardcover
  • Copyright: 2004-02-16
  • Publisher: Cambridge University Press

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Supplemental Materials

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Summary

Almost all the results available in the literature on multivariate t-distributions published in the last 50 years are now collected together in this comprehensive reference. Because these distributions are becoming more prominent in many applications, this book is a must for any serious researcher or consultant working in multivariate analysis and statistical distributions. Much of this material has never before appeared in book form. The first part of the book emphasizes theoretical results of a probabilistic nature. In the second part of the book, these are supplemented by a variety of statistical aspects. Various generalizations and applications are dealt with in the final chapters. The material on estimation and regression models is of special value for practitioners in statistics and economics. A comprehensive bibliography of over 350 references is included.

Table of Contents

List of Illustrations
ix
Preface xi
Introduction
1(35)
Definition
1(1)
Representations
2(5)
Characterizations
7(1)
A Closure Property
8(1)
A Consistency Property
9(1)
Density Expansions
9(1)
Moments
10(2)
Maximums
12(3)
Distribution of a Linear Function
15(1)
Marginal Distributions
15(1)
Conditional Distributions
16(3)
Quadratic Forms
19(1)
F Matrix
20(1)
Association
20(1)
Entropy
21(2)
Kullback-Leibler Number
23(3)
Renyi Information
26(4)
Identities
30(3)
Some Special Cases
33(3)
The Characteristic Function
36(8)
Sutradhar's Approach
36(2)
Joarder and Ali's Approach
38(3)
Levy Representation
41(3)
Linear Combinations, Products, and Ratios
44(19)
Linear Combinations
44(8)
Products
52(4)
Ratios
56(7)
Bivariate Generalizations and Related Distributions
63(24)
Owen's Noncentral Bivariate t Distribution
63(3)
Siddiqui's Noncentral Bivariate t Distribution
66(2)
Patil and Liao's Noncentral Bivariate t Distribution
68(1)
Krishnan's Noncentral Bivariate t Distribution
69(2)
Krishnan's Doubly Noncentral Bivariate t Distribution
71(1)
Bulgren et al.'s Bivariate t Distribution
72(1)
Siotani's Noncentral Bivariate t Distribution
73(1)
Tiku and Kambo's Bivariate t Distribution
74(2)
Conditionally Specified Bivariate t Distribution
76(4)
Jones' Bivariate t Distribution
80(7)
Multivariate Generalizations and Related Distributions
87(40)
Kshirsagar's Noncentral Multivariate t Distribution
87(3)
Miller's Noncentral Multivariate t Distribution
90(1)
Stepwise Multivariate t Distribution
90(3)
Siotani's Noncentral Multivariate t Distribution
93(1)
Arellano-Valle and Bolfarine's Generalized t Distribution
94(3)
Fang et al.'s Asymmetric Multivariate t Distribution
97(1)
Gupta's Skewed Multivariate t Distribution
98(4)
Sahu et al.'s Skewed Multivariate t Distribution
102(1)
Azzalini and Capitanio's Skewed Multivariate t Distribution
103(2)
Jones' Skewed Multivariate t Distribution
105(7)
Matrix-Variate t Distribution
112(7)
Complex Multivariate t Distribution
119(1)
Steyn's Nonnormal Distributions
120(6)
Inverted Dirichlet Distribution
126(1)
Probability Integrals
127(38)
Dunnett and Sobel's Probability Integrals
127(4)
Gupta and Sobel's Probability Integrals
131(4)
John's Probability Integrals
135(2)
Amos and Bulgren's Probability Integrals
137(2)
Steffens' Noncentral Probabilities
139(1)
Dutt's Probability Integrals
140(3)
Amos' Probability Integral
143(1)
Fujikoshi's Probability Integrals
144(1)
Probabilities of Cone
145(3)
Probabilities of Convex Polyhedra
148(10)
Probabilities of Linear Inequalities
158(2)
Maximum Probability Content
160(1)
Monte Carlo Evaluation
161(4)
Probability Inequalities
165(9)
Dunnett and Sobel's Probability Inequalities
165(4)
Dunn's Probability Inequalities
169(1)
Halperin's Probability Inequalities
170(1)
Sidak's Probability Inequalities
171(1)
Tong's Probability Inequalities
172(2)
Percentage Points
174(17)
Dunnett and Sobel's Percentage Points
174(1)
Krishnaiah and Armitage's Percentage Points
175(1)
Gupta et al.'s Percentage Points
176(1)
Rausch and Horn's Percentage Points
176(1)
Hahn and Hendrickson's Percentage Points
177(1)
Siotani's Percentage Points
177(1)
Graybill and Bowden's Percentage Points
178(2)
Pillai and Ramachandran's Percentage Points
180(1)
Dunnett's Percentage Points
180(1)
Gupta and Sobel's Percentage Points
181(1)
Chen's Percentage Points
182(1)
Bowden and Graybill's Percentage Points
183(1)
Dunnett and Tamhane's Percentage Points
183(4)
Kwong and Liu's Percentage Points
187(1)
Other Results
187(4)
Sampling Distributions
191(16)
Wishart Matrix
191(7)
Multivariate t Statistic
198(1)
Hotelling's T2 Statistic
199(5)
Entropy and Kullback-Leibler Number
204(3)
Estimation
207(21)
Tiku and Kambo's Estimation Procedure
207(3)
ML Estimation via EM Algorithm
210(2)
Missing Data Imputation
212(2)
Laplacian T-Approximation
214(1)
Sutradhar's Score Test
215(4)
Multivariate t Model
219(3)
Generalized Multivariate t Model
222(1)
Simulation
223(5)
Regression Models
228(13)
Classical Linear Model
228(5)
Bayesian Linear Models
233(2)
Indexed Linear Models
235(2)
General Linear Model
237(2)
Nonlinear Models
239(2)
Applications
241(6)
Projection Pursuit
241(2)
Portfolio Optimization
243(1)
Discriminant and Cluster Analysis
244(1)
Multiple Decision Problems
245(1)
Other Applications
246(1)
References 247(22)
Index 269

Supplemental Materials

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