Nonparametric statistics and mixture models: a festschrift in honor of Thomas P. Hettmansperger, the Pennsylvania State University, USA, 23-24 May, 2008
1st ed.. - Hackensack, N.J.: World Scientific, 2011
Online
Bibliografie, Festschrift, Konferenzschrift, Sammelwerk, Elektronische Ressource
- 1 online resource (370 p.)
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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.
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 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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Nonparametric statistics and mixture models: a festschrift in honor of Thomas P. Hettmansperger, the Pennsylvania State University, USA, 23-24 May, 2008
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Verantwortlichkeitsangabe: | editors, David R. Hunter, Donald St. P. Richards, James L. Rosenberger |
Autor/in / Beteiligte Person: | Hunter, David R. ; Richards, Donald St. P. ; Rosenberger, James L. ; Hettmansperger, Thomas P. (1939-) |
Körperschaft: | Pennsylvania State University, Dept. of Statistics ; Nonparametric Statistics and Mixture Models : Past, Present, and Future |
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Ausgabe: | 1st ed. |
Veröffentlichung: | Hackensack, N.J.: World Scientific, 2011 |
Medientyp: | Bibliografie, Festschrift, Konferenzschrift, Sammelwerk |
Datenträgertyp: | Elektronische Ressource |
Umfang: | 1 online resource (370 p.) |
ISBN: | 1-283-14874-9; 9786613148742; 981-4340-56-1 |
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