Matrices for Statistics

A compact yet comprehensive guide to the matrix methods foundational to modern statistical analysis, including regression and multivariate techniques. The second edition refines explanations, extends difficult topics, and adds a chapter on vectorising, matrix calculus, and complex numbers—making it accessible yet thorough for engineers, biologists, social scientists, and statisticians alike