NONPARAMETRIC STATISTICS & MIXTURE MODEL

A Festschrift In Honor Of Thomas P Hettmansperger

By: HUNTER DAVID

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Hardcover | 4 January 2011

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372 Pages

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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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Preface	p. v
A Bit of History	p. vii
List of Ph.D. Students Supervised	p. x
Estimation of Location and Scale Parameters Based on Kernel Functional Estimators	p. 1
Bandwidth Selection in an EM-Like Algorithm for Nonparametric Multivariate Mixtures	p. 15
Dealing with More Variables than the Sample Size: An Application to Shape Analysis	p. 28
A Non-Parametric Cramér-von Mises Penalty Function Smoother	p. 45
Statistical Models for Globular Cluster Luminosity Distribution	p. 58
A Likelihood-Tuned Density Estimator Via a Nonparametric Mixture Model	p. 69
Shock Models for Defaults: Parametric and Nonparametric Approaches	p. 90
Kernel 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	p. 136
Deconvolution Density Estimation on the Space of Positive Definite Symmetric Matrices	p. 147
Recent History Functional Linear Models	p. 169
Rank-Based Estimation for Arnold-Transformed Data	p. 183
QQ Plots for Assessing Symmetry Models	p. 204
A Comparison of Estimators for the Variance of Cross-Validation Estimators of the Generalization Error of Computer Algorithms	p. 226
Estimation of Hazard Functions with Shape Restrictions Using Regression Splines	p. 252
Multivariate Models and the First Four Moments	p. 267
An Empirical Study of Indirect Cross-Validation	p. 288
Extensions of Reliability Theory	p. 309
Rank Regression under Possible Model Misspecification	p. 317
Iterative Conditional Maximization Algorithm for Nonconcave Penalized Likelihood	p. 336
Author Index	p. 353
Table of Contents provided by Ingram. All Rights Reserved.

NONPARAMETRIC STATISTICS & MIXTURE MODEL

A Festschrift In Honor Of Thomas P Hettmansperger

At a Glance

Hardcover

Shipping

How to return your order

Defective items

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