MARC Record from Library of Congress

LEADER: 03016cam a2200313 a 4500
001 2011038049
003 DLC
005 20120726174119.0
008 111020s2012 njua b 001 0 eng
010 $a 2011038049
020 $a9780470922255
040 $aDLC$cDLC$dDLC
042 $apcc
050 00 $aQA278.2$b.O35 2012
082 00 $a519.5/36$223
084 $aMAT029030$2bisacsh
100 1 $aO'Gorman, Thomas W.
245 10 $aAdaptive tests of significance using permutations of residuals with R and SAS /$cThomas W. O'Gorman.
260 $aHoboken, N.J. :$bJohn Wiley,$cc2012.
300 $axvii, 345 p. :$bill. ;$c25 cm.
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.
520 $a"This book concerns adaptive tests of significance, which are statistical tests that use the data to modify the test procedures"--$cProvided by publisher.
504 $aIncludes bibliographical references (p. 333-339) and index.
650 0 $aRegression analysis.
650 0 $aComputer adaptive testing.
650 0 $aR (Computer program language)
630 00 $aSAS (Computer file)
650 7 $aMATHEMATICS / Probability & Statistics / Regression Analysis.$2bisacsh
856 42 $3Cover image$uhttp://catalogimages.wiley.com/images/db/jimages/9780470922255.jpg