Numerical Methods of Statistics Contributor(s): Monahan, John F. (Author) |
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ISBN: 051181223X ISBN-13: 9780511812231 Publisher: Cambridge University Press
Binding Type: Open Ebook - See All Available Formats & Editions Published: March 2011 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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