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Record Nr. |
UNINA9910966341803321 |
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Titolo |
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 |
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Pubbl/distr/stampa |
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Hackensack, N.J., : World Scientific, 2011 |
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ISBN |
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1-283-14874-9 |
9786613148742 |
981-4340-56-1 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (370 p.) |
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Altri autori (Persone) |
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HunterDavid R |
RichardsDonald St. P |
RosenbergerJames L |
HettmanspergerThomas P. <1939-> |
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Disciplina |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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"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. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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 |
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 |
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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 |
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 |
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Sommario/riassunto |
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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. |
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