Book Details
Format
Paperback / Softback
ISBN-10
0521139511
ISBN-13
9780521139519
Edition
2 Revised edition
Publisher
Cambridge University Press
Imprint
Cambridge University Press
Country of Manufacture
US
Country of Publication
GB
Publication Date
Apr 18th, 2011
Print length
464 Pages
Weight
826 grams
Dimensions
17.90 x 25.40 x 2.60 cms
Product Classification:
Numerical analysisProbability & statisticsMaths for computer scientists
Ksh 10,150.00
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This second edition explains how computer software is designed to perform the tasks required for sophisticated statistical analysis.
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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