NUMERICAL METHODS OF STATISTICS by Monahan, John ISBN 0521791685
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[edit] NUMERICAL METHODS OF STATISTICS
Provides a basic background in numerical analysis and its applications in statistics.
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 provides a basic background in numerical analysis emphasizing 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 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 from the simple to research problems, as well as examples of the methods at work. Most of the examples are accompanied by demonstration code available on a floppy disk included with the book.
[edit] Book Details
[edit] Title
NUMERICAL METHODS OF STATISTICS
[edit] Author
Monahan, John
[edit] ISBN
0521791685
[edit] Published
05/02/2001
[edit] Publisher
Cambridge University Press
[edit] Binding
hardback
[edit] Retail Price
45 (GBP)
[edit] Typical Price Online
45 (GBP)
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