Hidden Bibliographic Details
| ISBN: | 9781139082112
1139082116
9781139079846
1139079840
9781139077552
1139077554
9780511977176
0511977174
1107213894
9781107213890
1283112329
9781283112321
9786613112323
6613112321
1139075292
9781139075299
1139069527
9781139069526
9780521191586
0521191580
9780521139519
0521139511
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| Digital file characteristics: | data file
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| Notes: | Includes bibliographical references and indexes.
English.
Print version record.
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| Summary: | 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. Each chapter contains exercises that range from simple questions to research problems. Most of the examples are accompanied by demonstration and source code available from the author's website. New in this second edition are demonstrations coded in R, as well as new sections on linear programming and the Nelder-Mead search algorithm.
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| Other form: | Print version: Monahan, John F. Numerical methods of statistics. 2nd ed. Cambridge ; New York : Cambridge University Press, ©2011 9780521191586
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