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Matrix Algebra: Theory, Computations, and Applications in Statistics (2007 edition)

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Matrix Algebra: Theory, Computations, and Applications in Statistics - Gentle, James E
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Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. This much-needed work presents the relevant aspects of the theory of matrix algebra for applications in statistics. It moves on to consider the various types of matrices encountered in statistics, such as projection matrices and positive definite matrices, and describes the special properties of those matrices. Finally, it covers numerical linear algebra, beginning with a discussion of the basics of numerical ...

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Matrix Algebra: Theory, Computations and Applications in Statistics 2017, Springer, Cham

ISBN-13: 9783319648668

2nd 2017 edition

Trade paperback

Matrix Algebra: Theory, Computations, and Applications in Statistics 2010, Springer

ISBN-13: 9781441924247

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Matrix Algebra: Theory, Computations, and Applications in Statistics 2007, Springer, New York, NY

ISBN-13: 9780387708720

2007 edition

Hardcover