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Informationen zum Autor ROBB J. MUIRHEAD , PhD, is Professor in the Department of Statistics at the University of Michigan. He received his PhD in 1970 from the University of Adelaide in Australia. Klappentext The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. ". . . the wealth of material on statistics concerning the multivariate normal distribution is quite exceptional. As such it is a very useful source of information for the general statistician and a must for anyone wanting to penetrate deeper into the multivariate field." -Mededelingen van het Wiskundig Genootschap "This book is a comprehensive and clearly written text on multivariate analysis from a theoretical point of view." -The Statistician Aspects of Multivariate Statistical Theory presents a classical mathematical treatment of the techniques, distributions, and inferences based on multivariate normal distribution. Noncentral distribution theory, decision theoretic estimation of the parameters of a multivariate normal distribution, and the uses of spherical and elliptical distributions in multivariate analysis are introduced. Advances in multivariate analysis are discussed, including decision theory and robustness. The book also includes tables of percentage points of many of the standard likelihood statistics used in multivariate statistical procedures. This definitive resource provides in-depth discussion of the multivariate field and serves admirably as both a textbook and reference. Zusammenfassung The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.". . . the wealth of material on statistics concerning the multivariate normal distribution is quite exceptional. As such it is a very useful source of information for the general statistician and a must for anyone wanting to penetrate deeper into the multivariate field."-Mededelingen van het Wiskundig Genootschap"This book is a comprehensive and clearly written text on multivariate analysis from a theoretical point of view."-The StatisticianAspects of Multivariate Statistical Theory presents a classical mathematical treatment of the techniques, distributions, and inferences based on multivariate normal distribution. Noncentral distribution theory, decision theoretic estimation of the parameters of a multivariate normal distribution, and the uses of spherical and elliptical distributions in multivariate analysis are introduced. Advances in multivariate analysis are discussed, including decision theory and robustness. The book also includes tables of percentage points of many of the standard likelihood statistics used in multivariate statistical procedures. This definitive resource provides in-depth discussion of the multivariate field and serves admirably as both a textbook and reference. Inhaltsverzeichnis Tables. Commonly Used Notation. 1. The Multivariate Normal and Related Distributions. 2. Jacobians, Exterior Products, Kronecker Products, and Related Topics. 3. Samples from a Multivariate Normal Distribution, and the Wishart and Multivariate BETA Distributions. 4. Some Results Concerning Decision-Theoretic Estimation of the Parameters of a Multivariate Normal Distribution. 5. Correlation Coefficients. 6. Invariant Tests and Some Applications...
List of contents
Tables. Commonly Used Notation.
1. The Multivariate Normal and Related Distributions.
2. Jacobians, Exterior Products, Kronecker Products, and Related Topics.
3. Samples from a Multivariate Normal Distribution, and the Wishart and Multivariate BETA Distributions.
4. Some Results Concerning Decision-Theoretic Estimation of the Parameters of a Multivariate Normal Distribution.
5. Correlation Coefficients.
6. Invariant Tests and Some Applications.
7. Zonal Polynomials and Some Functions of Matrix Argument.
8. Some Standard Tests on Covariance Matrices and Mean Vectors.
9. Principal Components and Related Topics.
10. The Multivariate Linear Model.
11. Testing Independence Between k Sets of Variables and Canonical Correlation Analysis.
Appendix: Some Matrix Theory.
Bibliography.
Index.
About the author
ROBB J. MUIRHEAD, PhD, is Professor in the Department of Statistics at the University of Michigan. He received his PhD in 1970 from the University of Adelaide in Australia.
