
Comprehensive coverage of matrix algebra for data science and statistical theory Over 100 pages of additional material and 30 extra exercises in the new edition Even clearer text and more comprehensive coverage

This much-needed work, aimed at students and researchers in the field, 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...
