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Numerical Methods of Statistics [Hardcover]

John F. Monahan
2.0 out of 5 stars  See all reviews (1 customer review)
List Price: CDN$ 96.95
Price: CDN$ 81.08 & FREE Shipping. Details
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Book Description

Feb. 5 2001 0521791685 978-0521791687 1
This book explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. For statisticians, it examines the nitty-gritty computational problems behind statistical methods. For mathematicians and computer scientists, it looks at the application of mathematical tools to statistical problems. The first half of the book offers a basic background in numerical analysis that emphasizes issues important to statisticians. The next several chapters cover a broad array of statistical tools, such as maximum likelihood and nonlinear regression. The author also treats the application of numerical tools; numerical integration and random number generation are explained in a unified manner reflecting complementary views of Monte Carlo methods. The book concludes with an examination of sorting, FFT and the application of other "fast" algorithms to statistics. Each chapter contains exercises that range in difficulty as well as examples of the methods at work. Most of the examples are accompanied by demonstration code available from the author's home page.

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"...an extremely readable book. This would be an excellent book for a graduate-level course in statistical computing." Journal of the American Statistical Association

Book Description

This book explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. The first half of the book provides a basic background in numerical analysis emphasizing issues important to statisticians. The next several chapters cover a broad array of applications, such as maximum likelihood and nonlinear regression, numerical integration and random number generation, Monte Carlo methods, sorting, FFT and the application of other "fast" algorithms to statistics. Numerous examples are accompanied by demonstration code available on a floppy disk included with the book. This graduate text will also be a valuable reference for statisticians, mathematicians, and numerical analysts.

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First Sentence
Discussing algorithms before computers emphasizes the point that algorithms are valuable mathematical constructs in themselves and exist even in the absence of computers. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Most helpful customer reviews
2 of 6 people found the following review helpful
2.0 out of 5 stars algebra is not that hard Sept. 27 2002
By A Customer
Format:Hardcover
but at least this book makes it look so. many notations in the book come from nowhere and explained in nowhere, which practically makes it harder to follow what the author's trying to demonstrate. i mean come on, this is a textbook, which means nothing new, you just need to arrange things nicely, and make everything clear.
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Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com: 2.8 out of 5 stars  4 reviews
3 of 4 people found the following review helpful
5.0 out of 5 stars Really usefull book about numerical math Jan. 11 2007
By Andre M. Strauss - Published on Amazon.com
Format:Hardcover
For those who wants to understand what programns like spss, statistica and minitab do. Its not trivial but for the midle level student its very usefull. All the examples are in fortram language what is bad for me... But in general Monahan writes in very clear way, special thing in this kind of book.
2 of 3 people found the following review helpful
1.0 out of 5 stars Not Useful Sept. 11 2009
By G. Nelson - Published on Amazon.com
Format:Hardcover
While this book may be appropriate for University level students, it is out-of date with respect to the coding languages used and the coding examples only make sense if you get the floppy that is supposed to come with the book and which did not come with the book I ordered. For me, this was a total waste of money. However, for a older grad student who knows Fortran this may be the ticket.
0 of 1 people found the following review helpful
3.0 out of 5 stars Not what I needed March 10 2008
By M. Baird - Published on Amazon.com
Format:Hardcover|Verified Purchase
Probably a great reference for the right person. Unfortunately it did not provide the information I was seeking. If your reference need is obscure, it would be best to review the literature before making the purchase.
5 of 15 people found the following review helpful
2.0 out of 5 stars algebra is not that hard Sept. 27 2002
By A Customer - Published on Amazon.com
Format:Hardcover
but at least this book makes it look so. many notations in the book come from nowhere and explained in nowhere, which practically makes it harder to follow what the author's trying to demonstrate. i mean come on, this is a textbook, which means nothing new, you just need to arrange things nicely, and make everything clear.
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