著者・編者Paul Kvam, Brani Vidakovic, Seong-joon Kim
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
関連情報Wiley series in probability and mathematical statistics
掲載誌Wiley series in probability and mathematical statistics
連携機関・データベース国立情報学研究所 : CiNii Research
NACSIS書誌ID（NCID）https://ci.nii.ac.jp/ncid/BC17105599 : BC17105599