|Forlag||World Scientific Publishing Co|
|Emne||Probability & statistics|
|Se flere detaljer|
Om Nonparametric Statistics and Mixture Mod
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.Contents: Estimation of Location and Scale Parameters Based on Kernel Functional Estimators (I A Ahmad & M Amezziane)Dealing with More Variables Than the Sample Size: An Application to Shape Analysis (C Brombin et al.)Statistical Models for Globular Cluster Luminosity Distribution (M-L G Buot & D St P Richards)Shock Models for Defaults: Parametric and Nonparametric Approaches (P Cirillo & J Hüsler)On the Non-Gaussian Asymptotics of the Likelihood Ratio Test Statistic for Homogeneity of Covariance (M Hallin)Recent History Functional Linear Models (K Kim et al.)QQ Plots for Assessing Symmetry Models (J I Marden) Estimation of Hazard Functions with Shape Restrictions Using Regression Splines (M Meyer & D Habtzghi)An Empirical Study of Indirect Cross-Validation (O Savchuk et al.)Rank Regression Under Possible Model Misspecification (L Wang)and other papersReadership: Graduate students and researchers in statistics.