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Matrix Algebra Theory, Computations, and Applications in Statistics

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ISBN-10: 0387708723

ISBN-13: 9780387708720

Edition: 2007

Authors: James E. Gentle

List price: $109.99
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Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. The first part of this book presents the relevant aspects of the theory of matrix algebra for applications in statistics. This part begins with the fundamental concepts of vectors and vector spaces, next covers the basic algebraic properties of matrices, then describes the analytic properties of vectors and matrices in the multivariate calculus, and finally discusses operations on matrices in solutions of linear systems and in eigenanalysis. This part is essentially self-contained. The second part of the book begins with a consideration of various types of matrices encountered in…    
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Book details

List price: $109.99
Copyright year: 2007
Publisher: Springer New York
Publication date: 7/27/2007
Binding: Hardcover
Pages: 530
Size: 6.10" wide x 9.25" long x 0.47" tall
Weight: 1.936
Language: English

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
Special matrices and operations useful in modeling and data analysis
Selected applications in statistics
Numerical methods
Numerical linear algebra
Software for numerical linear algebra
Notation and definitions
Solutions and hints for selected exercises