Vol.71 Contents (2019)

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No.1 February 2019

Semiparametric efficient estimators in heteroscedastic error models
.......... Mijeong Kim and Yanyuan Ma (71, 1-28)
Supplement 1
Sobolev-Hermite versus Sobolev nonparametric density estimation on R
.......... Denis Belomestny, Fabienne Comte and Valentine Genon-Catalot (71, 29-62)
Two-stage cluster samples with ranked set sampling designs
.......... Omer Ozturk (71, 63-92)
Supplement 1
Pseudo-Gibbs sampler for discrete conditional distributions
.......... Kun-Lin Kuo and Yuchung J. Wang (71, 93-106)
On estimation of surrogate models for multivariate computer experiments
.......... Benedikt Bauer, Felix Heimrich, Michael Kohler and Adam Krzyzak (71, 107-136)
Supplement 1
A class of uniform tests for goodness-of-fit of the multivariate Lp-norm spherical distributions and the lp-norm symmetric distributions
.......... Jiajuan Liang, Kai Wang Ng and Guoliang Tian (71, 137-162)
An asymptotic expansion for the normalizing constant of the Conway-Maxwell-Poisson distribution
.......... Robert E. Gaunt, Satish Iyengar, Adri B. Olde Daalhuis and Burcin Simsek (71, 163-180)
Inference about the slope in linear regression: An empirical likelihood approach
.......... Ursula U. Müller, Hanxiang Peng and Anton Schick (71, 181-212)
Bootstrapping the Kaplan-Meier estimator on the whole line
.......... Dennis Dobler (71, 213-246)
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