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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]