Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Matrix Algebra: Theory, Computations, and Applications in Statistics

Matrix Algebra: Theory, Computations, and Applications in Statistics

Gentle, James E.

Hardcover

Series: Springer Texts in Statistics

AlgebraGeneral MathematicsProbability & Statistics

Currently unavailable to order

ISBN10: 0387708723
ISBN13: 9780387708720
Publisher: Springer
Published: Jul 27 2007
Pages: 530
Weight: 2.10
Height: 1.40 Width: 6.50 Depth: 9.40
Language: English

This much-needed work, aimed at students and researchers in the field, 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 computations, and following up with topics including accurate and efficient algorithms for factoring matrices. A large part of the book can be used as the text for a course in matrix algebra for statistics students, or as a supplementary text for courses in linear models or multivariate statistics. The book describes and gives examples of the use of modern computer software for numerical linear algebra.

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