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000462089 010__ $$z  2011038049
000462089 020__ $$z9780470922255
000462089 020__ $$z9781118218228 (e-book)
000462089 035__ $$a(CaPaEBR)ebr10542585
000462089 035__ $$a(OCoLC)787849902
000462089 040__ $$aCaPaEBR$$cCaPaEBR
000462089 05014 $$aQA278.2$$b.O35 2012eb
000462089 08204 $$a519.5/36$$223
000462089 1001_ $$aO'Gorman, Thomas W.
000462089 24510 $$aAdaptive tests of significance using permutations of residuals with R and SAS$$h[electronic resource] /$$cThomas W. O'Gorman.
000462089 260__ $$aHoboken, N.J. :$$bWiley,$$c2012.
000462089 300__ $$axvii, 345 p. :$$bill.
000462089 504__ $$aIncludes bibliographical references and index.
000462089 506__ $$aAccess limited to authorized users.
000462089 520__ $$a"This book concerns adaptive tests of significance, which are statistical tests that use the data to modify the test procedures. The modification is used to reduce the influence of outliers. These adaptive tests are attractive because they are often more powerful than traditional tests, and they are also quite practical since they can be performed quickly on a computer using R code or a SAS macro. This comprehensive book on adaptive tests can be used by students and researchers alike who are not familiar with adaptive methods. Chapter 1 provides a gentle introduction to the topic, and Chapter 2 presents a description of the basic tools that are used throughout the book. In Chapters 3, 4, and 5, the basic adaptive testing methods are developed, and Chapters 6 and 7 contain many applications of these tests. Chapters 8 and 9 concern adaptive multivariate tests with multivariate regression models, while the rest of the book concerns adaptive rank tests, adaptive confidence intervals, and adaptive correlations. The adaptive tests described in this book have the following properties: the level of significance is maintained at or near [alpha]; they are more powerful than the traditional test, sometimes much more powerful, if the error distribution is long-tailed or skewed; and there is little power loss compared to the traditional tests if the error distribution is normal. Additional topical coverage includes: smoothing and normalizing methods; two-sample adaptive tests; permutation tests with linear models; adaptive tests in linear models; application of adaptive tests; analysis of paired data; adaptive multivariate tests; analysis of repeated measures data; rank-based approaches to testing; adaptive confidence intervals; and adaptive correlation"--$$cProvided by publisher.
000462089 63000 $$aSAS (Computer file)
000462089 650_0 $$aRegression analysis.
000462089 650_0 $$aComputer adaptive testing.
000462089 650_0 $$aR (Computer program language)
000462089 655_7 $$aElectronic books.$$2lcsh
000462089 852__ $$bebk
000462089 85640 $$3ProQuest Ebook Central Academic Complete$$uhttps://univsouthin.idm.oclc.org/login?url=http://site.ebrary.com/lib/usiricelib/Doc?id=10542585$$zOnline Access
000462089 909CO $$ooai:library.usi.edu:462089$$pGLOBAL_SET
000462089 980__ $$aEBOOK
000462089 980__ $$aBIB
000462089 982__ $$aEbook
000462089 983__ $$aOnline