Nonparametric Statistics with Applications to Science and Engineering with R

Idioma: inglés

Editorial: John Wiley and Sons Inc, US, 2022

1119268133 / 9781119268130

Serie: Libro 337 de 358 - Wiley Series in Probability and Statistics

Librería: Rarewaves.com USA, London, London, Reino UnidoRarewaves.com USA

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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. …

N° de ref. del artículo LU-9781119268130

Título
Nonparametric Statistics with Applications to Science and Engineering with R
Autor
Brani Vidakovic, Seong-joon Kim, Paul Kvam
Editorial
John Wiley and Sons Inc, US
Año de publicación
2022
Estado
New
Encuadernación
Hardback
Idioma
inglés
ISBN 10
1119268133
ISBN 13
9781119268130
Edición
2ª Edición
Peso del artículo
862 gramos
Dimensiones
16.51 x 2.54 x 24.13 cm
Serie
Libro 337 de 358: Wiley Series in Probability and Statistics

Rarewaves.com USA

London, London, Reino Unido

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