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Numerical Methods of Statistics
Contributor(s): Monahan, John F. (Author)

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 ISBN: 051181223X     ISBN-13: 9780511812231
Publisher: Cambridge University Press
OUR PRICE: $191.25  

Binding Type: Open Ebook - See All Available Formats & Editions
Published: March 2011
Qty:
Temporarily out of stock - Will ship within 2 to 5 weeks

Click for more in this series: Cambridge Series in Statistical and Probabilistic Mathematic
Additional Information
BISAC Categories:
- Computers | Natural Language Processing
- Mathematics | Probability & Statistics - General
Dewey: 519.5
Series: Cambridge Series in Statistical and Probabilistic Mathematic
Features: Price on Product
 
Descriptions, Reviews, Etc.
Publisher Description:
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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