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Nonparametric Statistics and Mixture Models : a Festschrift in Honor of Thomas P Hettmansperger.
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 pe...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Singapore :
World Scientific,
2011.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Hunter, David. | |
| 245 | 1 | 0 | |a Nonparametric Statistics and Mixture Models : |b a Festschrift in Honor of Thomas P Hettmansperger. |
| 260 | |a Singapore : |b World Scientific, |c 2011. | ||
| 300 | |a 1 online resource (370 pages) | ||
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| 505 | 0 | |a 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. | |
| 505 | 8 | |a 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. | |
| 505 | 8 | |a 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. | |
| 588 | 0 | |a Print version record. | |
| 520 | |a 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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| 650 | 0 | |a Nonparametric statistics |v Congresses. | |
| 650 | 6 | |a Statistique non paramétrique |v Congrès. | |
| 650 | 7 | |a Nonparametric statistics |2 fast | |
| 655 | 7 | |a Conference papers and proceedings |2 fast | |
| 700 | 1 | |a Richards, Donald. | |
| 700 | 1 | |a Rosenberger, James L. | |
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| 776 | 0 | 8 | |i Print version: |a Hunter, David. |t Nonparametric Statistics and Mixture Models : A Festschrift in Honor of Thomas P Hettmansperger. |d Singapore : World Scientific, ©2011 |z 9789814340557 |
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