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

Type

Book

Authors

Gentle ( Gentle, James E. )

ISBN 10

0387708723

ISBN 13

9780387708720

Tags

Intelligence & Semantics, Algorithms, Mathematical & Statistical, Probability & Statistics, Matrices, Number Systems, Counting & Numeration, Algebra, Artificial Intelligence, Algebra & Trigonometry, Statistics

Series Name

Springer Texts in Statistics

Description

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. - from Amzon

Number of Copies