Matrix Algebra
Theory, Computations and Applications in Statistics (Springer Texts in Statistics)

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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 computations, and following up with accurate and efficient algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors.

AuthorJames E. Gentle
Edition2nd ed. 2017
Height1000 mm
Length701 mm
Width154 mm
Language TypePublished
Number Of Items1
Number Of Pages648
Product GroupBook
Publication Date2017-10-21
PublisherSpringer International Publishing AG
StudioSpringer International Publishing AG
Sales Rank828029

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