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[null,null,"Titolo",null,"Nonparametric statistics and mixture models : a festschrift in honor of Thomas P. Hettmansperger, the Pennsylvania State University, USA, 23-24 May, 2008 / / editors, David R. Hunter, Donald St. P. Richards, James L. Rosenberger"]
[null,null,"Pubbl/distr/stampa",null,"Hackensack, N.J., : World Scientific, 2011"]
[null,null,"ISBN",null,"1-283-14874-9"]
[{"$nulls":4},"9786613148742"]
[{"$nulls":4},"981-4340-56-1"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (370 p.)"]
[null,null,"Disciplina",null,"519.54"]
[null,null,"Soggetti",null,"Nonparametric statistics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","\"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."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"PREFACE; 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 Cramér-von Mises Penalty Function Smoother; Statistical Models for Globular Cluster Luminosity Distribution; A Likelihood-Tuned Density Estimator Via a Nonparametric Mixture Model"]
[{"$nulls":4},"Shock Models for Defaults: Parametric and Nonparametric ApproachesKernel Density Estimation with Missing Data: Misspecifying the Missing Data Mechanism; On the Non-Gaussian Asymptotics of the Likelihood Ratio Test Statistic for Homogeneity of Covariance; Deconvolution Density Estimation on the Space of Positive Definite Symmetric Matrices; Recent History Functional Linear Models; Rank-Based Estimation for Arnold-Transformed Data; QQ Plots for Assessing Symmetry Models; A Comparison of Estimators for the Variance of Cross-Validation Estimators of the Generalization Error of Computer Algorithms"]
[{"$nulls":4},"Estimation 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"]
[null,null,null,"Sommario/riassunto","This 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."]