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Matrix Algebra : Theory, Computations, and Applications in Statistics

Author: James E Gentle
Publisher: New York, NY : Springer Science+Business Media, LLC, 2007.
Series: Springer Texts in Statistics
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:

This much-needed work presents, among other things, the relevant aspects of the theory of matrix algebra for applications in statistics. Written in an informal style, it addresses computational  Read more...

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Additional Physical Format: Matrix algebra
(NL-LeOCL)308655893
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: James E Gentle
ISBN: 9780387708720 0387708723 9780387708737 0387708731
OCLC Number: 1012560076
Description: 1 online resource
Contents: Linear Algebra.- Basic Vector/Matrix Structure and Notation.- Vectors and Vector Spaces.- Basic Properties of Matrices.- Vector/Matrix Derivatives and Integrals.- Matrix Transformations and Factorizations.- Solution of Linear Systems.- Evaluation of Eigenvalues and Eigenvectors.- Applications in Data Analysis.- Special Matrices and Operations Useful in Modeling and Data Analysis.- Selected Applications in Statistics.- Numerical Methods and Software.- Numerical Methods.- Numerical Linear Algebra.- Software for Numerical Linear Algebra.
Series Title: Springer Texts in Statistics
Responsibility: by James E. Gentle.

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From the reviews:"[T]his well-written book on matrix algebra reminds me of many classics in the field. It is both concise and timely, and provides a good collection of overviews and reviews of Read more...

 
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