Title : CENTRAL LIMIT THEOREM FOR INTEGRATED SQUARE ERROR OF KERNEL HAZARD ESTIMATOR UNDER CENSORED DEPENDENT MODEL ( Central limit theorem for integrated square error of kernel hazard estimator under censored dependent model )
Authors: Sara Jomhoori , Vahid Fakoor , Hassan Ali Azarnoosh ,
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Abstract
In some long term studies, a series of dependent and possibly censored failure times may be observed. Suppose that the failure times have a common distribution function F . A popular measure of the distance between the hazard function of the survival times λ and its kernel estimate ˆ n λ is the integrated square error. In this paper, we derive central limit theorem for the integrated square error of the kernel hazard estimator under a censored dependent model.
Keywords
, -mixing, Bandwidth, Censored dependent data, Central limit theorem, Integrated square error, Kernel hazard rate estimator, Right censorship. α
@article{paperid:1004198,
author = {Jomhoori, Sara and Fakoor, Vahid and Azarnoosh, Hassan Ali},
title = {CENTRAL LIMIT THEOREM FOR INTEGRATED SQUARE ERROR OF KERNEL HAZARD ESTIMATOR UNDER CENSORED DEPENDENT MODEL},
journal = {Pakistan Journal of Statistics},
year = {2007},
month = {October},
issn = {1012-9367},
keywords = {-mixing; Bandwidth; Censored dependent data; Central limit theorem; Integrated
square error; Kernel hazard rate estimator; Right censorship.
α},
}
%0 Journal Article
%T CENTRAL LIMIT THEOREM FOR INTEGRATED SQUARE ERROR OF KERNEL HAZARD ESTIMATOR UNDER CENSORED DEPENDENT MODEL
%A Jomhoori, Sara
%A Fakoor, Vahid
%A Azarnoosh, Hassan Ali
%J Pakistan Journal of Statistics
%@ 1012-9367
%D 2007
