A self-contained introduction to matrix analysis theory and applications in the field of statistics Comprehensive in scope, Matrix Algebra for Linear Models off

• Exercises and solutions are included throughout, from both the first and second volume • Includes coverage of additional topics not covered in the first v

This textbook is an approachable introduction to statistical analysis using matrix algebra. Prior knowledge of matrix algebra is not necessary. Advanced topics

This book provides a rigorous introduction to the basic aspects of the theory of linear estimation and hypothesis testing, covering the necessary prerequisites

The essential introduction to the theory and application of linear models—now in a valuable new edition Since most advanced statistical tools are generalizati