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Nonparametric statistics with applications to science and engineering with R / Paul Kvam, Brani Vidakovic, Seong-joon Kim
(Wiley series in probability and mathematical statistics)

出版者 Hoboken, NJ : Wiley
出版年 2023
2nd ed
著者標目 *Kvam, Paul H., 1962-
Vidakovic, Brani, 1955-
Kim, Seong-Joon, 1984-

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図書館(本館3階)コード分類洋書 : hardback 4100:2191 121064904R
9781119268130

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データ種別 図書
大きさ xvii, 426 p. : ill. ; 24 cm
一般注記 Includes bibliographical references and indexes
Summary: "This book presents modern nonparametric statistics from a practical point of view. This new edition includes 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. Following an introduction and a discussion of the basics of probability, statistics, and Bayesian statistics, the book discusses order statistics, Kolmogorov-Smirnov test statistic, rank tests, and designed experiments. Next, categorical data, estimating distribution functions, and density estimation is examined. Least squares regression is covered, along with curve fitting techniques, wavelets, and bootstrap sampling. Other topics examined include EM algorithm, statistical
件 名 LCSH:Nonparametric statistics
LCSH:Science -- Statistical methods  全ての件名で検索
LCSH:Engineering -- Statistical methods  全ての件名で検索
分 類 LCC:QA278.8
DC23:519.5
本文言語 英語
書誌ID 1001213115
ISBN 9781119268130
NCID BC17105599 WCLINK

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