Title : ( Central Limit Theorem for Integrated Square Error of Kernel Hazard Estimator under Censored Dependent Model )
Authors: Sara Jomhoori , Vahid Fakoor , Hassan Ali Azarnoosh ,
Full TextAbstract
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 λn 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.
@inproceedings{paperid:1006787,
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},
booktitle = {9TH ISLAMIC COUNTRIES CONFERENCE ON STATISTICAL SCIENCES (ICCS-IX},
year = {2007},
keywords = {-mixing; Bandwidth; Censored dependent data; Central limit theorem; Integrated
square error; Kernel hazard rate estimator; Right censorship.},
}
%0 Conference Proceedings
%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 9TH ISLAMIC COUNTRIES CONFERENCE ON STATISTICAL SCIENCES (ICCS-IX
%D 2007
