Matrix Algebra: Theory, Computations, and Applications in Statistics (Springer Texts in Statistics) by James E. Gentle
English | July 27, 2007 | ISBN: 0387708723 | 530 pages | PDF | 3 MB
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.