Click Here to Download: https://ouo.io/2qpBg8 Matrix Algebra Theory, Computations and Applications in Statistics By: James E. Gentle Publisher: Springer Print ISBN: 9783319648668, 3319648667 eText ISBN: 9783319648675, 3319648675 Edition: 2nd Copyright year: 2017 Format: EPUB Available from $ 89.00 USD SKU 9783319648675 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.
