Matrix Algebra: Theory, Computations and Applications in Statistics

by James E. Gentle

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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...

Format:Paperback

Language:English

ISBN:3319648667

ISBN13:9783319648668

Release Date:October 2017

Publisher:Springer

Length:648 Pages

Weight:2.56 lbs.

Dimensions:1.4" x 7.0" x 10.0"

Related Subjects

Algebra Computers Computers & Technology Counting & Numeration Human Vision & Language Systems Math Mathematical & Statistical Mathematics Matrices Popular & Elementary Probability & Statistics Pure Mathematics Science Science & Math Science & Scientists Science & Technology

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Matrix Algebra: Theory, Computations and Applications in Statistics

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