Nonparametric statistics and mixture models. A Festschrift in honor Thomas P. Hettmannsperger. Most papers based on the presentations at the conference, University Park, PA, USA, May 23–24, 2008. (English) Zbl 1234.62025
Hackensack, NJ: World Scientific (ISBN 978-981-4340-55-7/hbk; 978-981-4340-56-4/ebook). xv, 353 p. (2011).
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From the preface (p. v–vi): This volume is a tribute to Thomas P. Hettmansperger on the occasion of his retirement in 2008 from the faculty of the Department of Statistics at The Pennsylvania State University. It contains a collection of papers by some of Tom’s closest friends, students, and colleagues, covering a wide range of topics in nonparametric statistics and mixture models.Most of these papers were presented at an international conference to celebrate Tom’s scientific contributions entitled “Nonparametric Statistics and Mixture Models: Past, Present, and Future.” The conference was hosted by Penn State’s Department of Statistics on May 23–24, 2008.
P. vii–ix contain “A bit of history” and on p. x-xi the list of Ph. D. students supervised by Thomas P. Hettmannsperger is given.
The articles of this volume will be reviewed individually.
Indexed articles:
Ahmad, Ibrahim A.; Amezziane, Mohamed, Estimation of location and scale parameters based on kernel functional estimators, 1-14 [Zbl 1414.62067]
Benaglia, Tatiana; Chauveau, Didier; Hunter, David R., Bandwidth selection in an EM-like algorithm for nonparametric multivariate mixtures, 15-27 [Zbl 1414.62119]
Brombin, Chiara; Pesarin, Fortunato; Salmaso, Luigi, Dealing with more variables than the sample size: an application to shape analysis, 28-44 [Zbl 1414.62144]
Brown, Bruce M.; Leng, Chenlei, A non-parametric Cramér-von Mises penalty function smoother, 45-57 [Zbl 1414.62145]
Buot, Max-Louis G.; Richards, Donald St. P., Statistical models for globular cluster luminosity distribution, 58-68 [Zbl 1414.62515]
Chung, Yeojin; Lindsay, Bruce G., A likelihood-tuned density estimator via a nonparametric mixture model, 69-89 [Zbl 1414.62120]
Cirillo, Pasquale; Hüsler, Jürg, Shock models for defaults: parametric and nonparametric approaches, 90-113 [Zbl 1414.62159]
Dubnicka, Suzanne R., Kernel density estimation with missing data: misspecifying the missing data mechanism, 114-135 [Zbl 1414.62122]
Hallin, Marc, On the non-Gaussian asymptotics of the likelihood ratio test statistic for homogeneity of covariance, 136-146 [Zbl 1414.62196]
Kim, Peter T.; Richards, Donald St. P., Deconvolution density estimation on the space of positive definite symmetric matrices, 147-168 [Zbl 1414.62184]
Kim, Kion; Sentürk, Damla; Li, Runze, Recent history functional linear models, 169-182 [Zbl 1414.62308]
Kloke, John D.; McKean, Joseph W., Rank-based estimation for Arnold-transformed data, 183-203 [Zbl 1414.62110]
Marden, John I., QQ plots for assessing symmetry models, 204-225 [Zbl 1414.62155]
Markatou, Marianthi; Dimova, Rositsa; Sinha, Anshu, A comparison of estimators for the variance of cross-validation estimators of the generalization error of computer algorithms, 226-251 [Zbl 1414.62072]
Meyer, Mary; Habtzghi, Desale, Estimation of hazard functions with shape restrictions using regression splines, 252-266 [Zbl 1414.62113]
Nordhausen, Klaus; Oja, Hannu; Ollila, Esa, Multivariate models and the first four moments, 267-287 [Zbl 1414.62171]
Savchuk, Olga; Hart, Jeffrey; Sheather, Simon, An empirical study of indirect cross-validation, 288-308 [Zbl 1414.62125]
Thomas, Hoben; Lohaus, Arnold; Domsch, Holger, Extensions of reliability theory, 309-316 [Zbl 1414.62492]
Wang, Lan, Rank regression under possible model misspecification, 317-335 [Zbl 1414.62312]
Zhang, Yiyun; Li, Runze, Iterative conditional maximization algorithm for nonconcave penalized likelihood, 336-351 [Zbl 1414.62323]
MSC:
62Gxx | Nonparametric inference |
62-06 | Proceedings, conferences, collections, etc. pertaining to statistics |
00B30 | Festschriften |
00B25 | Proceedings of conferences of miscellaneous specific interest |