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portada Numerical Methods of Statistics (Cambridge Series in Statistical and Probabilistic Mathematics)
Type
Physical Book
Year
2011
Language
English
Pages
464
Format
Paperback
Dimensions
25.1 x 17.8 x 2.8 cm
Weight
0.82 kg.
ISBN13
9780521139519
Edition No.
0002

Numerical Methods of Statistics (Cambridge Series in Statistical and Probabilistic Mathematics)

John F. Monahan (Author) · Cambridge University Press · Paperback

Numerical Methods of Statistics (Cambridge Series in Statistical and Probabilistic Mathematics) - Monahan, John F.

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86,08 €

Synopsis "Numerical Methods of Statistics (Cambridge Series in Statistical and Probabilistic Mathematics) "

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 in from the author's Web site. 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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