Free Ebook Matrix Algebra Useful for Statistics, by Shayle R. Searle
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Matrix Algebra Useful for Statistics, by Shayle R. Searle
Free Ebook Matrix Algebra Useful for Statistics, by Shayle R. Searle
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WILEY-INTERSCIENCE PAPERBACK SERIES
The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.
"This book is intended to teach useful matrix algebra to 'students, teachers, consultants, researchers, and practitioners' in 'statistics and other quantitative methods'.The author concentrates on practical matters, and writes in a friendly and informal style . . . this is a useful and enjoyable book to have at hand."
-Biometrics
This book is an easy-to-understand guide to matrix algebra and its uses in statistical analysis. The material is presented in an explanatory style rather than the formal theorem-proof format. This self-contained text includes numerous applied illustrations, numerical examples, and exercises.
- Sales Rank: #242230 in Books
- Published on: 1982-08-19
- Ingredients: Example Ingredients
- Original language: English
- Number of items: 1
- Dimensions: 9.23" h x 1.07" w x 6.16" l, 1.61 pounds
- Binding: Hardcover
- 438 pages
Review
Solutions Manual available from the Author. -- The publisher, John Wiley & Sons
From the Publisher
An easy to understand guide to matrix algebra and its uses in statistical analysis. Presents material in an explanatory style instead of the formal theorem-proof format; the only background necessary is high school algebra. The self-contained text includes numerous applied illustrations, numerical examples, and exercises.
From the Back Cover
WILEY-INTERSCIENCE PAPERBACK SERIES
The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.
"This book is intended to teach useful matrix algebra to 'students, teachers, consultants, researchers, and practitioners' in 'statistics and other quantitative methods'.The author concentrates on practical matters, and writes in a friendly and informal style . . . this is a useful and enjoyable book to have at hand."
—Biometrics
This book is an easy-to-understand guide to matrix algebra and its uses in statistical analysis. The material is presented in an explanatory style rather than the formal theorem-proof format. This self-contained text includes numerous applied illustrations, numerical examples, and exercises.
Most helpful customer reviews
0 of 0 people found the following review helpful.
Excellent book for students beginning graduate study in Statistics
By Amazon Customer
Excellent book for students beginning graduate study in Statistics. Would recommend this book over most. I have several in related topics. If you're new to proofs, this book has great explanations behind many crucial proofs to understanding material at this level.
10 of 10 people found the following review helpful.
A very useful book
By SM-NM Catboy
This book covers a lot of materials that will contribute to a solid understanding of matrix algebra. I would, by all means, recommend this book, but would still like to point out some weaknesses:
1. Unattractive page layout. Page after page of dull looks. Need more visuals; I don't mean colorful graphics but black-and-white diagrams and geometric interpretations.
2. From time to time, I felt like the author would give examples only on easy-to-understand topics, but avoid giving examples on difficult-to-understand ones. That didn't make sense to me.
3. Proofs should be more clearly presented. It seems like the author is always in a hurry to just get the job done. I guess it was designed for uninterested readers to simply skip the proofs without making them feel they have skipped over a lot of materials. However, for an interested reader like me, who isn't particularly strong in proofs, it was a disfavor.
4. Illustration topics could be more diverse. For instance, there are too many illustrations dealing with genetics. I would appreciate more everyday examples, like the taxi one.
Again, I would strongly recommend this book, despite what I think are its weaknesses.
8 of 9 people found the following review helpful.
Overrated
By Jesper Hybel Pedersen
"This book is adressed to people of limited ability or training in mathematics and is an attempt to keep the mathematical presentation as informal as possible." At least according to the preface of the book.
I do not think the author has succeeded in this selfproclaimed goal. In some chapters - which I consider core chapters - results are simply offered as theorems and then proved without any comment on the significance of the result. Theres a lack of a unified approach, where new concepts are linked to old ones whenever possible, and the notation is at times inconsistent both within and across chapters. Simple matters are presented in a complicated fashion perhaps to save space. The chapters on statistical application - particularly regression - did not impress me since I have seen appendices in stat books treat the matrix algebra with more insight rather than the dry computational fashion which seems to be the drive of this book.
Considering the amount of books available on linear algebra I find this book way too expensive and too dense to be worth the time.
To me this was not the hoped for bridge from linear algebra to a deepened understanding of the math behind in my case regression.
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