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Matrix Algebra From a Statistician's Perspective | 
| Author: David A. Harville
Publisher: Springer
Category: Book
List Price: $64.95
Buy New: $42.21
You Save: $22.74 (35%)
New (21) Used (6) from $42.21
Avg. Customer Rating:  6 reviews
Sales Rank: 119058
Media: Paperback
Edition: 1st ed. 1997. 2nd printing
Number Of Items: 1
Pages: 636
Shipping Weight (lbs): 2
Dimensions (in): 9.1 x 6.1 x 1.5
ISBN: 0387783563
Dewey Decimal Number: 519
EAN: 9780387783567
ASIN: 0387783563
Publication Date: June 27, 2008
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Shipping: International shipping available
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Product Description
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. It includes a number of very useful results that have only been available from relatively obscure sources. Detailed proofs are provided for all results. The style and level of presentation are designed to make the contents accessible to a broad audience. The book is essentially self-contained, though it is best-suited for a reader who has had some previous exposure to matrices (of the kind that might be acquired in a beginning course on linear or matrix algebra). It includes exercises, it can serve as the primary text for a course on matrices or as a supplementary text in courses on such topics as linear statistical models or multivariate analysis, and it will be a valuable reference.
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| Customer Reviews: Read 1 more reviews...
An excellent reference for people who need something more than an introduction October 12, 2007
2 out of 2 found this review helpful
There are tons of books on linear algebra, but very few with the scope of this one. Researchers facing any non-trivial task in linear algebra would do well to look here first. There are, for example, chapters on how vectorizing matrices (by stacking the columns) relates to Kronecker products, and taking derivatives of matrix functions. If you need to take the derivative of the determinant of a matrix with respect to its inverse, look no further. I wish the book was typeset better, but the content is fantastic.
Good service September 26, 2005
0 out of 32 found this review helpful
Buying from Aamazon.com directly instead of from its markplace is a pleasent experience. It is safe and faster delivery. Highly recommend.
Solid and understandable guide to matrix algebra September 23, 2005
13 out of 16 found this review helpful
I am a PhD level graduate student who has never had a matrix algebra course. I got this book to help with a Linear Models course I am currently taking. The book is very helpful, and provides a solid background in the first few chapters before building on them for more complex results. Definitely a good reference to have nearby.
 Its a good tool book July 16, 2004
5 out of 11 found this review helpful
This is a pretty good tool book for a statistician but it still has some samll problems, (1) the first few chapters, author should give more examples to describe concepts. (2) author can use more clear or simple way to describe many basic concepts but he does not do it! (if you have taken Linear Algebra from math, you will understand what I mean). Overall, this is a pretty good bookfor beginners.
Execllent reference, even for non-statisticians July 18, 2002
14 out of 14 found this review helpful
I am not a statistician, but this book has been my major reference on matrix algebra since I got it. The presentation is a bit dense, but I want to point out that the author actually presents the proofs to essentially _all_ theorems in the book. Perhaps this explains the style. As for the content, I find this book very comprehensive in my experience. But the dense page-setting of the book actually makes it visually challenging to locate a result. I also note that there are extensive exercises at the end of every chapter, although I probably won't use this as a textbook for my students.
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