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24 of 24 people found the following review helpful:
5.0 out of 5 stars
another good matrix algebra book with a statistical point of view,
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This review is from: Matrices for Statistics (Paperback)
This book gives a very concise treatment fo matrix algebra, covering from first principles the basic mathematics. It is oriented toward statistical applications such as the least squares solution in regression, concepts of principal components and other multivariate statistical topics where matrices play an important role. I particularly like the way determinants were introduced and motived by the generalization of "never divide by zero." It is a good reference for statistical practitioners including statisticians, engineers, biologists and social scientists. For those interested in a more thorough treatment there are other noteworthy books, one by Searle and one by Graybill. Healy's text is inexpensive and easy to use as a reference particularly the paperback edition that I have.
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Matrices for Statistics by M. J. R. Healy (Paperback - July 13, 2000)
$74.00 $63.56
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