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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Hunter, David
Otros Autores: Richards, Donald, Rosenberger, James L.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore : World Scientific, 2011.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.