{"product_id":"nonparametric-statistics-with-applications-to-paul-h-kvam-9781119268130","title":"Nonparametric Statistics with Applications to Science and Engineering with R","description":"\u003cb\u003eNONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING WITH R\u003c\/b\u003e \u003cp\u003e\u003cb\u003eIntroduction to the methods and techniques of traditional and modern nonparametric statistics, incorporating R code\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eNonparametric Statistics with Applications to Science and Engineering with R\u003c\/i\u003e 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. \u003c\/p\u003e\u003cp\u003eRelevant 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. \u003c\/p\u003e\u003cp\u003eThe 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. \u003c\/p\u003e\u003cp\u003eSome of the sample topics discussed in \u003ci\u003eNonparametric Statistics with Applications to Science and Engineering with R include\u003c\/i\u003e \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e Basics of probability, statistics, Bayesian statistics, order statistics, Kolmogorov-Smirnov test statistics, rank tests, and designed experiments\u003c\/li\u003e \u003cli\u003e Categorical data, estimating distribution functions, density estimation, least squares regression, curve fitting techniques, wavelets, and bootstrap sampling\u003c\/li\u003e \u003cli\u003e EM algorithms, statistical learning, nonparametric Bayes, WinBUGS, properties of ranks, and Spearman coefficient of rank correlation\u003c\/li\u003e \u003cli\u003e Chi-square and goodness-of-fit, contingency tables, Fisher exact test, MC Nemar test, Cochran's test, Mantel-Haenszel test, and Empirical Likelihood \u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eNonparametric Statistics with Applications to Science and Engineering with R\u003c\/i\u003e 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.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Paul Kvam, Brani Vidakovic, Seong-Joon Kim\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1119268133\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781119268130\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Wiley\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 10\/18\/2022\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 448\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.68lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.00h x 6.00w x 1.00d\u003c\/p\u003e","brand":"Paul Kvam","offers":[{"title":"Hardcover","offer_id":44069863620863,"sku":"9781119268130","price":140.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_811820b9-597f-4a98-bad1-663e04477ece.jpg?v=1685426946","url":"https:\/\/www.whiterainbookhouse.com\/products\/nonparametric-statistics-with-applications-to-paul-h-kvam-9781119268130","provider":"WR Book House","version":"1.0","type":"link"}