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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
John F. Monahan is a Professor of Statistics at North Carolina State University where he joined the faculty in 1978 and has been a professor since 1990. His research has appeared in numerous computational as well as statistical journals. He is also the author of A Primer on Linear Models (2008).
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Etat : New. This second edition explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. Series: Cambridge Series in Statistical and Probabilistic Mathematics. Num Pages: 464 pages, Illustrations. BIC Classification: PBKS; PBT; UYAM. Category: (U) Tertiary Education (US: College). Dimension: 184 x 263 x 32. Weight in Grams: 1004. . 2011. 2nd Edition. hardcover. . . . . N° de réf. du vendeur V9780521191586
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This second edition explains how computer software is designed to perform the tasks required for sophisticated statistical analysis.Über den AutorJohn F. Monahan is a Professor of Statistics at North Carolina State University wh. N° de réf. du vendeur 446929472
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Hardcover. Etat : new. Hardcover. 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 NelderMead search algorithm. This second edition explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9780521191586
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Etat : New. This second edition explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. Series: Cambridge Series in Statistical and Probabilistic Mathematics. Num Pages: 464 pages, Illustrations. BIC Classification: PBKS; PBT; UYAM. Category: (U) Tertiary Education (US: College). Dimension: 184 x 263 x 32. Weight in Grams: 1004. . 2011. 2nd Edition. hardcover. . . . . Books ship from the US and Ireland. N° de réf. du vendeur V9780521191586
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