Title : ( Strong uniform consistency of kernel density estimators under a censored dependent model )
Authors: Vahid Fakoor ,
Full TextAbstract
Problems with censored data arise frequently in survival analyses and reliability applications. The estimation of the density function of the lifetimes is often of interest. In this paper, the estimation of the density function by the kernel method is considered, when censored data show some kind of dependence. We apply the strong Gaussian approximation technique for studying the strong uniform consistency for kernel estimators of the density function under a censored dependent model
Keywords
Kernel density; strong Gaussian approximation; strong uniform consistency;
@article{paperid:1013765,
author = {Fakoor, Vahid},
title = {Strong uniform consistency of kernel density estimators under a censored dependent model},
journal = {Statistics and Probability Letters},
year = {2010},
volume = {80},
number = {5},
month = {March},
issn = {0167-7152},
pages = {318--323},
numpages = {5},
keywords = {Kernel density; strong Gaussian approximation; strong uniform consistency;},
}
%0 Journal Article
%T Strong uniform consistency of kernel density estimators under a censored dependent model
%A Fakoor, Vahid
%J Statistics and Probability Letters
%@ 0167-7152
%D 2010
