LEADER 03530nam 22006855 450 001 9910299984503321 005 20230810162220.0 010 $a1-4939-1471-5 024 7 $a10.1007/978-1-4939-1471-5 035 $a(CKB)3710000000228676 035 $a(EBL)1967407 035 $a(OCoLC)890707915 035 $a(SSID)ssj0001354303 035 $a(PQKBManifestationID)11705827 035 $a(PQKBTitleCode)TC0001354303 035 $a(PQKBWorkID)11327280 035 $a(PQKB)10654441 035 $a(MiAaPQ)EBC1967407 035 $a(DE-He213)978-1-4939-1471-5 035 $a(PPN)181351277 035 $a(EXLCZ)993710000000228676 100 $a20140902d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStatistical Methods for Ranking Data /$fby Mayer Alvo, Philip L.H. Yu 205 $a1st ed. 2014. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2014. 215 $a1 online resource (276 p.) 225 1 $aFrontiers in Probability and the Statistical Sciences,$x2624-9995 300 $aDescription based upon print version of record. 311 $a1-4939-1470-7 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Exploratory Analysis of Ranking Data -- Correlation Analysis of Paired Ranking Data -- Testing for randomness, agreement and interaction -- Block Designs -- General Theory of Hypothesis Testing -- Testing for Ordered Alternatives -- Probability Models for Ranking Data -- Probit Models for Ranking Data -- Decision Tree Models for Ranking Data -- Extension of Distance-Based Models for Ranking Data -- Appendix A: Ranking Data Sets -- Appendix B: Limit Theorems -- Appendix C: Review on Decision Trees. 330 $aThis book introduces advanced undergraduate, graduate students and practitioners to statistical methods for ranking data. An important aspect of nonparametric statistics is oriented towards the use of ranking data. Rank correlation is defined through the notion of distance functions and the notion of compatibility is introduced to deal with incomplete data. Ranking data are also modeled using a variety of modern tools such as CART, MCMC, EM algorithm and factor analysis. This book deals with statistical methods used for analyzing such data and provides a novel and unifying approach for hypotheses testing. The techniques described in the book are illustrated with examples and the statistical software is provided on the authors? website. 410 0$aFrontiers in Probability and the Statistical Sciences,$x2624-9995 606 $aStatistics 606 $aMathematical statistics$xData processing 606 $aData mining 606 $aStatistical Theory and Methods 606 $aStatistics 606 $aStatistics and Computing 606 $aData Mining and Knowledge Discovery 615 0$aStatistics. 615 0$aMathematical statistics$xData processing. 615 0$aData mining. 615 14$aStatistical Theory and Methods. 615 24$aStatistics. 615 24$aStatistics and Computing. 615 24$aData Mining and Knowledge Discovery. 676 $a006.312 676 $a519.5 700 $aAlvo$b Mayer$4aut$4http://id.loc.gov/vocabulary/relators/aut$0722034 702 $aYu$b Philip L.H$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910299984503321 996 $aStatistical Methods for Ranking Data$92544807 997 $aUNINA