{"product_id":"9780470922255","title":"Adaptive Tests of Significance Using Permutations of Residuals with R and SAS","description":"\u003ch1\u003eAdaptive Tests of Significance Using Permutations of Residuals with R and SAS\u003c\/h1\u003e\u003ch3\u003eThomas W. O'Gorman\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Probability \u0026amp; Statistics \/ Regression Analysis\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cb\u003eProvides the tools needed to successfully perform adaptive tests across a broad range of datasets\u003c\/b\u003e  \u003cp\u003eAdaptive Tests of Significance Using Permutations of Residuals with R and SAS illustrates the power of adaptive tests and showcases their ability to adjust the testing method to suit a particular set of data. The book utilizes state-of-the-art software to demonstrate the practicality and benefits for data analysis in various fields of study.\u003c\/p\u003e \u003cp\u003eBeginning with an introduction, the book moves on to explore the underlying concepts of adaptive tests, including:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eSmoothing methods and normalizing transformations\u003c\/li\u003e \u003cli\u003ePermutation tests with linear methods\u003c\/li\u003e \u003cli\u003eApplications of adaptive tests\u003c\/li\u003e \u003cli\u003eMulticenter and cross-over trials\u003c\/li\u003e \u003cli\u003eAnalysis of repeated measures data\u003c\/li\u003e \u003cli\u003eAdaptive confidence intervals and estimates\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThroughout the book, numerous figures illustrate the key differences among traditional tests, nonparametric tests, and adaptive tests. R and SAS software packages are used to perform the discussed techniques, and the accompanying datasets are available on the book's related website. In addition, exercises at the end of most chapters enable readers to analyze the presented datasets by putting new concepts into practice.\u003c\/p\u003e \u003cp\u003eAdaptive Tests of Significance Using Permutations of Residuals with R and SAS is an insightful reference for professionals and researchers working with statistical methods across a variety of fields including the biosciences, pharmacology, and business. The book also serves as a valuable supplement for courses on regression analysis and adaptive analysis at the upper-undergraduate and graduate levels.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e \u003cb\u003eThomas W. O'gorman\u003c\/b\u003e, PhD, is Associate Professor in the Department of Mathematical Sciences at Northern Illinois University. Dr. O'Gorman's current research focuses on the analysis of adaptive methods for performing statistical tests and confidence intervals.\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e13 March 2012\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9780470922255\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e364\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e22.56\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44380516253836,"sku":"9780470922255","price":151.16,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780470922255.jpg?v=1780199167","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9780470922255","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}