{"product_id":"nonparametric-statistics-with-applications-to-science-and-engineering-9781119268130","title":"Nonparametric Statistics with Applications to Science and Engineering","description":"\u003cp\u003e • Author(s): Paul H. Kvam\u003cbr\u003e • Publisher: Wiley\u003cbr\u003e • Publisher Imprint: Wiley\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - General\u003c\/p\u003e\u003cp\u003e\u003cb\u003eNONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING WITH R\u003c\/b\u003e \u003c\/p\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: * 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  \u003c\/p\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.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Hardcover","offer_id":45201821270167,"sku":"9781119268130","price":11824.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781119268130.webp?v=1767916263","url":"https:\/\/atlanticbooks.com\/products\/nonparametric-statistics-with-applications-to-science-and-engineering-9781119268130","provider":"Atlantic Books","version":"1.0","type":"link"}