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Aspects Multivariate Statistic Theory P
Taschenbuch von Robb J Muirhead
Sprache: Englisch

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Beschreibung
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.
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.
Über den 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.
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.

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.
Details
Erscheinungsjahr: 2005
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 712
Inhalt: 712 S.
ISBN-13: 9780471769859
ISBN-10: 0471769851
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Muirhead, Robb J
Hersteller: Wiley
John Wiley & Sons
Maße: 229 x 152 x 41 mm
Von/Mit: Robb J Muirhead
Erscheinungsdatum: 29.09.2005
Gewicht: 1,128 kg
preigu-id: 102254892
Über den 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.
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.

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.
Details
Erscheinungsjahr: 2005
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 712
Inhalt: 712 S.
ISBN-13: 9780471769859
ISBN-10: 0471769851
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Muirhead, Robb J
Hersteller: Wiley
John Wiley & Sons
Maße: 229 x 152 x 41 mm
Von/Mit: Robb J Muirhead
Erscheinungsdatum: 29.09.2005
Gewicht: 1,128 kg
preigu-id: 102254892
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