A self-contained introduction to matrix analysis theory and applications in the field of statistics

Comprehensive in scope, "Matrix Algebra for Linear Models "offers a succinct summary of matrix theory and its related applications to statistics, especially linear models. The book provides a unified presentation of the mathematical properties and statistical applications of matrices in order to define and manipulate data.

Written for theoretical and applied statisticians, the book utilizes multiple numerical examples to illustrate key ideas, methods, and techniques crucial to...