Nonparametric statistics with applications to science and engineering with R : hardback 2nd ed

Nonparametric statistics with applications to science and engineering with R : hardback

2nd ed

Material type: 図書

Author: Paul Kvam, Brani Vidakovic, Seong-joon Kim

Publisher: Wiley

Publication date: 2023

Material Format: Paper

Capacity, size, etc.: 24 cm

NDC: -

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Note (General)：: Includes bibliographical references and indexesSummary: "This book presents modern nonparametric statistics from a practical point of view. This new e...

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Wiley series in probability and mathematical statistics

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Paper

Material Type: 図書
ISBN: 9781119268130
Title: Nonparametric statistics with applications to science and engineering with R
Volume: : hardback
Author/Editor: Paul Kvam, Brani Vidakovic, Seong-joon Kim
Edition: 2nd ed
Author Heading: Kvam, Paul H.
https://ci.nii.ac.jp/author/DA19991498
Vidakovic, Brani
https://ci.nii.ac.jp/author/DA12191959
Kim, Seong-Joon
https://ci.nii.ac.jp/author/DA19991501
Publication, Distribution, etc.: Wiley
Publication Date: 2023
Publication Date (W3CDTF): 2023
Size: 24 cm
Place of Publication (Country Code): us
Text Language Code: en
Subject Heading: Nonparametric statistics
Science -- Statistical methods
Engineering -- Statistical methods
LCC: QA278.8
Target Audience: 一般
Note (General): 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
Related Material: Wiley series in probability and mathematical statistics
https://cir.nii.ac.jp/crid/1130000796403419008
Related Material (URI): https://ci.nii.ac.jp/ncid/BC17105599#entity
https://lccn.loc.gov/2022013281
Periodical Title: Wiley series in probability and mathematical statistics
https://cir.nii.ac.jp/crid/1130000796403419008
Data Provider (Database): 国立情報学研究所 : CiNii Research
Original Data Provider (Database): CiNii Books
https://ci.nii.ac.jp/books
NCID: https://ci.nii.ac.jp/ncid/BC17105599 : BC17105599
LC Control Number: 2022013281
https://lccn.loc.gov/2022013281