Some inequalities for the kernel density estimator under random censorship∗-Reference-Cited by-同舟云学术

Some inequalities for the kernel density estimator under random censorship∗

Published:2000-01 Issue:5 Volume:12 Page:737-751
ISSN:1048-5252
Container-title:Journal of Nonparametric Statistics
language:en
Short-container-title:Journal of Nonparametric Statistics

Author:

Wang Qihua

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://www.tandfonline.com/doi/pdf/10.1080/10485250008832831

Reference19 articles.

1. Estimating a Density under Order Restrictions: Nonasymptotic Minimax Risk

2. Blum, J. R. and Susaria, V. 1980. “Maximal Deviation Theory of Density and Failure Rate Function Estimates Based on Censored Data”. Edited by: Krishnaich, P. R. 213–222. North-Holland: Amsterdam. Multivariate Analysis V

3. Berry-esseen bound for the kaplan-meier estimator

4. Central Limit Theorems for $L_p$ Distances of Kernel Estimators of Densities Under Random Censorship

5. Strong consistency properties of nonparametric estimators for randomly censored data, II: Estimation of density and failure rate

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1. Monotone empirical bayes test for the parameter of pareto distribution under random censorship;Journal of Interdisciplinary Mathematics;2016-07-03

2. Convergence Rates of Empirical Bayes Estimation for the Parameter of the Uniform DistributionU(0, θ) Under Random Censorship;Communications in Statistics - Theory and Methods;2005-12

3. A new proof of strong consistency of kernel estimation of density function and mode under random censorship;Statistics & Probability Letters;2002-08