Matrix Algebra is a vital mathematical tool in the social sciences, and the techniques and vocabulary of the subject are essential for an understanding of advanced statistics -- yet many social scientists have only a rudimentary grasp of them.
This volume serves as a complete introduction to matrix algebra, requiring no background knowledge beyond basic school algebra. Namboodiri's presentation is smooth and readable: it begins with the basic definitions and goes on to explain elementary manipulations and the concept of linear dependence. He then introduces the more difficult concept of eigenvalues and eigenvectors, supplying illustrations through fully-worked examples. Every chapter closes with a summary of the key concepts and definitions, useful to the beginner.