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Matrix Algebra Useful for Statistics : Wiley Series in Probability and Statistics - Shayle R. Searle

Matrix Algebra Useful for Statistics

Wiley Series in Probability and Statistics

Hardcover

Published: 2nd September 1982
Ships: 7 to 10 business days
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Hardcover
Published: 1st May 2017
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$214.40

WILEY-INTERSCIENCE PAPERBACK SERIES<br> <br> 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.<br> <br> "This book is intended to teach useful matrix algebra to 'students, teachers, consultants, researchers, and practitioners' in 'statistics and other quantitative methods'.The author concentrates on practical matters, and writes in a friendly and informal style . . . this is a useful and enjoyable book to have at hand."<br> -Biometrics<br> <br> This book is an easy-to-understand guide to matrix algebra and its uses in statistical analysis. The material is presented in an explanatory style rather than the formal theorem-proof format. This self-contained text includes numerous applied illustrations, numerical examples, and exercises.

Basic Operations.

Special Matrices.

Determinants.

Inverse Matrices.

Rank.

Canonical Forms.

Generalized Inverses.

Solving Linear Equations.

Partitioned Matrices.

Eigenvalues and Eigenvectors.

Miscellanea.

Applications in Statistics.

The Matrix Algebra of Regression Analysis.

An Introduction to Linear Statistical Models.

References.

Index.

ISBN: 9780471866817
ISBN-10: 0471866814
Series: Wiley Series in Probability and Statistics
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 464
Published: 2nd September 1982
Publisher: John Wiley & Sons Inc
Country of Publication: US
Dimensions (cm): 23.45 x 15.65  x 2.71
Weight (kg): 0.73
Edition Number: 1