What is included with this book?
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 |
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