I consider this book to be superior to applied matrix algebra in the statistical sciences by alexander basilevsky matrix algebra theory computations and applications in statistics by gentle and a matrix handbook for statisticians by seber. Matrix algebra from a statisticians perspective bios 524 546 a 1 matrices 11 basic terminology denotes an mxn matrix of values when n1 this is a column vector when m1 this is a row vector 11 1. This book presents matrix algebra in a way that is well suited for those with an interest in statistics or a related discipline it provides thorough and unified coverage of the fundamental concepts along with the specialized topics encountered in areas of statistics such as linear statistical models and multivariate analysis. A knowledge of matrix algebra is a prerequisite for the study of much of modern statistics especially the areas of linear statistical models and multivariate statistics this reference book provides the background in matrix algebra necessary to do research and understand the results in these areas. Provides the background in matrix algebra necessary to do research and understand the results in these areas essentially self contained the book is best suited for a reader who has had some previous exposure to matrices solutions to the exercises are available in the authors matrix algebra
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