Idioma: Inglés
Publicado por Wiley & Sons, Incorporated, John, 2007
ISBN 10: 0470081473 ISBN 13: 9780470081471
Librería: Better World Books: West, Reno, NV, Estados Unidos de America
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Idioma: Inglés
Publicado por Wiley-Interscience, Hoboken, 2007
ISBN 10: 0470081473 ISBN 13: 9780470081471
Librería: Second Story Books, ABAA, Rockville, MD, Estados Unidos de America
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Añadir al carritoHardcover. Octavo, xiv, 420 pages. In Very Good condition. Spine is purple with white print. Boards in glossy illustrated paper. Light wear to corners. Illustrated: b&w graphs, figures, photographs. NOTE: Shelved in Netdesk Column I. 1380580. FP New Rockville Stock.
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Idioma: Inglés
Publicado por John Wiley and Sons Inc, US, 2022
ISBN 10: 1119268133 ISBN 13: 9781119268130
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 155,31
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Añadir al carritoHardback. Condición: New. NONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING WITH R Introduction to the methods and techniques of traditional and modern nonparametric statistics, incorporating R code Nonparametric Statistics with Applications to Science and Engineering with R presents modern nonparametric statistics from a practical point of view, with the newly revised edition including custom R functions implementing nonparametric methods to explain how to compute them and make them more comprehensible. Relevant built-in functions and packages on CRAN are also provided with a sample code. R codes in the new edition not only enable readers to perform nonparametric analysis easily, but also to visualize and explore data using R's powerful graphic systems, such as ggplot2 package and R base graphic system. The new edition includes useful tables at the end of each chapter that help the reader find data sets, files, functions, and packages that are used and relevant to the respective chapter. New examples and exercises that enable readers to gain a deeper insight into nonparametric statistics and increase their comprehension are also included. Some of the sample topics discussed in Nonparametric Statistics with Applications to Science and Engineering with R include: Basics of probability, statistics, Bayesian statistics, order statistics, Kolmogorov-Smirnov test statistics, rank tests, and designed experiments Categorical data, estimating distribution functions, density estimation, least squares regression, curve fitting techniques, wavelets, and bootstrap sampling EM algorithms, statistical learning, nonparametric Bayes, WinBUGS, properties of ranks, and Spearman coefficient of rank correlation Chi-square and goodness-of-fit, contingency tables, Fisher exact test, MC Nemar test, Cochran's test, Mantel-Haenszel test, and Empirical Likelihood Nonparametric Statistics with Applications to Science and Engineering with R is a highly valuable resource for graduate students in engineering and the physical and mathematical sciences, as well as researchers who need a more comprehensive, but succinct understanding of modern nonparametric statistical methods.
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Añadir al carritoCondición: New. Series: Wiley Series in Probability and Statistics. Num Pages: 430 pages. BIC Classification: PBK. Category: (P) Professional & Vocational. Weight in Grams: 666. . 2022. 2nd Edition. Hardcover. . . . .
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Añadir al carritoCondición: New. Series: Wiley Series in Probability and Statistics. Num Pages: 430 pages. BIC Classification: PBK. Category: (P) Professional & Vocational. Weight in Grams: 666. . 2022. 2nd Edition. Hardcover. . . . . Books ship from the US and Ireland.
Idioma: Inglés
Publicado por John Wiley and Sons Inc, US, 2022
ISBN 10: 1119268133 ISBN 13: 9781119268130
Librería: Rarewaves.com UK, London, Reino Unido
EUR 145,95
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Añadir al carritoHardback. Condición: New. NONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING WITH R Introduction to the methods and techniques of traditional and modern nonparametric statistics, incorporating R code Nonparametric Statistics with Applications to Science and Engineering with R presents modern nonparametric statistics from a practical point of view, with the newly revised edition including custom R functions implementing nonparametric methods to explain how to compute them and make them more comprehensible. Relevant built-in functions and packages on CRAN are also provided with a sample code. R codes in the new edition not only enable readers to perform nonparametric analysis easily, but also to visualize and explore data using R's powerful graphic systems, such as ggplot2 package and R base graphic system. The new edition includes useful tables at the end of each chapter that help the reader find data sets, files, functions, and packages that are used and relevant to the respective chapter. New examples and exercises that enable readers to gain a deeper insight into nonparametric statistics and increase their comprehension are also included. Some of the sample topics discussed in Nonparametric Statistics with Applications to Science and Engineering with R include: Basics of probability, statistics, Bayesian statistics, order statistics, Kolmogorov-Smirnov test statistics, rank tests, and designed experiments Categorical data, estimating distribution functions, density estimation, least squares regression, curve fitting techniques, wavelets, and bootstrap sampling EM algorithms, statistical learning, nonparametric Bayes, WinBUGS, properties of ranks, and Spearman coefficient of rank correlation Chi-square and goodness-of-fit, contingency tables, Fisher exact test, MC Nemar test, Cochran's test, Mantel-Haenszel test, and Empirical Likelihood Nonparametric Statistics with Applications to Science and Engineering with R is a highly valuable resource for graduate students in engineering and the physical and mathematical sciences, as well as researchers who need a more comprehensive, but succinct understanding of modern nonparametric statistical methods.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 83,77
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Añadir al carritoPaperback. Condición: Brand New. 1st edition. 262 pages. 9.25x6.25x0.50 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por John Wiley & Sons Inc, New York, 2022
ISBN 10: 1119268133 ISBN 13: 9781119268130
Librería: CitiRetail, Stevenage, Reino Unido
EUR 128,66
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. NONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING WITH R Introduction to the methods and techniques of traditional and modern nonparametric statistics, incorporating R code Nonparametric Statistics with Applications to Science and Engineering with R presents modern nonparametric statistics from a practical point of view, with the newly revised edition including custom R functions implementing nonparametric methods to explain how to compute them and make them more comprehensible. Relevant built-in functions and packages on CRAN are also provided with a sample code. R codes in the new edition not only enable readers to perform nonparametric analysis easily, but also to visualize and explore data using Rs powerful graphic systems, such as ggplot2 package and R base graphic system. The new edition includes useful tables at the end of each chapter that help the reader find data sets, files, functions, and packages that are used and relevant to the respective chapter. New examples and exercises that enable readers to gain a deeper insight into nonparametric statistics and increase their comprehension are also included. Some of the sample topics discussed in Nonparametric Statistics with Applications to Science and Engineering with R include: Basics of probability, statistics, Bayesian statistics, order statistics, KolmogorovSmirnov test statistics, rank tests, and designed experiments Categorical data, estimating distribution functions, density estimation, least squares regression, curve fitting techniques, wavelets, and bootstrap sampling EM algorithms, statistical learning, nonparametric Bayes, WinBUGS, properties of ranks, and Spearman coefficient of rank correlation Chi-square and goodness-of-fit, contingency tables, Fisher exact test, MC Nemar test, Cochrans test, MantelHaenszel test, and Empirical Likelihood Nonparametric Statistics with Applications to Science and Engineering with R is a highly valuable resource for graduate students in engineering and the physical and mathematical sciences, as well as researchers who need a more comprehensive, but succinct understanding of modern nonparametric statistical methods. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.