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Nonparametric statistics and mixture models : a festschrift in honor of Thomas P. Hettmansperger, the Pennsylvania State University, USA, 23-24 May, 2008

Author: David R Hunter; Donald St P Richards; James L Rosenberger; Thomas P Hettmansperger; Pennsylvania State University. Department of Statistics.
Publisher: Hackensack, N.J. : World Scientific, 2011.
Edition/Format:   eBook : Document : Conference publication : EnglishView all editions and formats
Summary:
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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Genre/Form: Electronic books
Conference papers and proceedings
Congresses
Material Type: Conference publication, Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: David R Hunter; Donald St P Richards; James L Rosenberger; Thomas P Hettmansperger; Pennsylvania State University. Department of Statistics.
ISBN: 9789814340564 9814340561
OCLC Number: 742516272
Description: 1 online resource (xv, 353 pages) : illustrations, portraits
Contents: Estimation of location and scale parameters based on kernel functional estimators / I.A. Ahmad & M. Amezziane --
Bandwidth selection in an EM-like algorithm for nonparametric multivariate mixtures / T. Benaglia, D. Chauveau & D.R. Hunter --
Dealing with more variables than the sample size : An application to shape analysis / C. Brombin, F. Pesarin & L. Salmaso --
A non-parametric Cramer-von Mises penalty function smoother / B.M. Brown & C. Leng --
Statistical models for globular cluster luminosity distribution / M.-L.G. Buot & D. St. P. Richards --
A likelihood-tuned density estimator via a nonparametric mixture model / Y. Chung & B.G. Lindsay --
Shock models for defaults : Parametric and nonparametric approaches / P. Cirillo & J. Husler --
Kernel density estimation with missing data : Misspecifying the missing data mechanism / S.R. Dubnicka --
On the non-Gaussian asymptotics of the likelihood ratio test statistic for homogeneity of covariance / M. Hallin --
Deconvolution density estimation on the space of positive definite symmetric matrices / P.T. Kim & D. St. P. Richards --
Recent history functional linear models / K. Kim, D. Senturk & R. Li --
Rank-based estimation for Arnold-transformed data / J.D. Kloke & J.W. McKean --
QQ plots for assessing symmetry models / J.I. Marden --
A comparison of estimators for the variance of cross-validation estimators of the generalization error of computer algorithms / M. Markatou, R. Dimova & A. Sinha --
Estimation of hazard functions with shape restrictions using regression splines / M. Meyer & D. Habtzghi --
Multivariate models and the first four moments / K. Nordhausen, H. Oja & E. Ollila --
An empirical study of indirect cross-validation / O. Savchuk, J. Hart & S. Sheather --
Extensions of reliability theory / H. Thomas, A. Lohaus & H. Domsch --
Rank regression under possible model misspecification / L. Wang --
Iterative conditional maximization algorithm for nonconcave penalized likelihood / Y. Zhang & R. Li.
Responsibility: editors, David R. Hunter, Donald St. P. Richards, James L. Rosenberger.

Abstract:

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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