LEADER 04310nam 2200661 a 450 001 9910966341803321 005 20240516085304.0 010 $a1-283-14874-9 010 $a9786613148742 010 $a981-4340-56-1 035 $a(CKB)2550000000039674 035 $a(EBL)737597 035 $a(OCoLC)742333488 035 $a(SSID)ssj0000524510 035 $a(PQKBManifestationID)12223076 035 $a(PQKBTitleCode)TC0000524510 035 $a(PQKBWorkID)10547233 035 $a(PQKB)11457367 035 $a(WSP)00008086 035 $a(Au-PeEL)EBL737597 035 $a(CaPaEBR)ebr10480073 035 $a(CaONFJC)MIL314874 035 $a(Perlego)847966 035 $a(MiAaPQ)EBC737597 035 $a(EXLCZ)992550000000039674 100 $a20110712d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aNonparametric statistics and mixture models $ea festschrift in honor of Thomas P. Hettmansperger, the Pennsylvania State University, USA, 23-24 May, 2008 /$feditors, David R. Hunter, Donald St. P. Richards, James L. Rosenberger 205 $a1st ed. 210 $aHackensack, N.J. $cWorld Scientific$d2011 215 $a1 online resource (370 p.) 300 $a"Most of these papers were presented at an international conference to celebrate Tom's scientific contributions entitled 'Nonparametric Statistics and Mixture Models : Past, Present, and Future.' The conference was hosted by Penn State's Department of Statistics on May 23-24, 2008 ..."--Pref. 311 08$a981-4340-55-3 320 $aIncludes bibliographical references and index. 327 $aPREFACE; A BIT OF HISTORY; PH.D. STUDENTS SUPERVISED BY THOMAS P. HETTMANSPERGER; CONTENTS; Estimation of Location and Scale Parameters Based on Kernel Functional Estimators; Bandwidth Selection in an EM-Like Algorithm for Nonparametric Multivariate Mixtures; Dealing with More Variables than the Sample Size: An Application to Shape Analysis; A Non-Parametric Crame?r-von Mises Penalty Function Smoother; Statistical Models for Globular Cluster Luminosity Distribution; A Likelihood-Tuned Density Estimator Via a Nonparametric Mixture Model 327 $aShock Models for Defaults: Parametric and Nonparametric ApproachesKernel Density Estimation with Missing Data: Misspecifying the Missing Data Mechanism; On the Non-Gaussian Asymptotics of the Likelihood Ratio Test Statistic for Homogeneity of Covariance; Deconvolution Density Estimation on the Space of Positive Definite Symmetric Matrices; Recent History Functional Linear Models; Rank-Based Estimation for Arnold-Transformed Data; QQ Plots for Assessing Symmetry Models; A Comparison of Estimators for the Variance of Cross-Validation Estimators of the Generalization Error of Computer Algorithms 327 $aEstimation of Hazard Functions with Shape Restrictions Using Regression SplinesMultivariate Models and the First Four Moments; An Empirical Study of Indirect Cross-Validation; Extensions of Reliability Theory; Rank Regression under Possible Model Misspecification; Iterative Conditional Maximization Algorithm for Nonconcave Penalized Likelihood; AUTHOR INDEX 330 $aThis festschrift includes papers authored by many collaborators, colleagues, and students of Professor Thomas P Hettmansperger, who worked in research in nonparametric statistics, rank statistics, robustness, and mixture models during a career that spanned nearly 40 years. It is a broad sample of peer-reviewed, cutting-edge research related to nonparametrics and mixture models. 606 $aNonparametric statistics$vCongresses 615 0$aNonparametric statistics 676 $a519.54 701 $aHunter$b David R$0243688 701 $aRichards$b Donald St. P$060283 701 $aRosenberger$b James L$01844139 701 $aHettmansperger$b Thomas P.$f1939-$0254306 712 02$aPennsylvania State University.$bDept. of Statistics. 712 12$aNonparametric Statistics and Mixture Models : Past, Present, and Future$f(2008 :$ePennsylvania State University) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910966341803321 996 $aNonparametric statistics and mixture models$94426369 997 $aUNINA