LEADER 02922nam 22005295 450 001 9910300139903321 005 20250408162307.0 010 $a3-319-94153-4 024 7 $a10.1007/978-3-319-94153-0 035 $a(CKB)4100000007003090 035 $a(DE-He213)978-3-319-94153-0 035 $a(MiAaPQ)EBC6311809 035 $a(PPN)231462956 035 $a(EXLCZ)994100000007003090 100 $a20181012d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 12$aA Parametric Approach to Nonparametric Statistics /$fby Mayer Alvo, Philip L. H. Yu 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XIV, 279 p. 15 illus. in color.) 225 1 $aSpringer Series in the Data Sciences,$x2365-5682 311 08$a3-319-94152-6 327 $aI. Introduction and Fundamentals -- Introduction -- Fundamental Concepts in Parametric Inference -- II. Modern Nonparametric Statistical Methods -- Smooth Goodness of Fit Tests -- One-Sample and Two-Sample Problems -- Multi-Sample Problems -- Tests for Trend and Association -- Optimal Rank Tests -- Efficiency -- III. Selected Applications -- Multiple Change-Point Problems -- Bayesian Models for Ranking Data -- Analysis of Censored Data -- A. Description of Data Sets. 330 $aThis book demonstrates that nonparametric statistics can be taught from a parametric point of view. As a result, one can exploit various parametric tools such as the use of the likelihood function, penalized likelihood and score functions to not only derive well-known tests but to also go beyond and make use of Bayesian methods to analyze ranking data. The book bridges the gap between parametric and nonparametric statistics and presents the best practices of the former while enjoying the robustness properties of the latter. This book can be used in a graduate course in nonparametrics, with parts being accessible to senior undergraduates. In addition, the book will be of wide interest to statisticians and researchers in applied fields. 410 0$aSpringer Series in the Data Sciences,$x2365-5682 606 $aProbabilities 606 $aStatistics 606 $aProbability Theory 606 $aStatistical Theory and Methods 615 0$aProbabilities. 615 0$aStatistics. 615 14$aProbability Theory. 615 24$aStatistical Theory and Methods. 676 $a519.54 700 $aAlvo$b Mayer$4aut$4http://id.loc.gov/vocabulary/relators/aut$0722034 702 $aYu$b Philip L. H$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910300139903321 996 $aA Parametric Approach to Nonparametric Statistics$92266037 997 $aUNINA