Title : ( Kaplan-Meier Estimator for Associated Random Variables Under Left Truncation and Right Censoring )
Authors: Hadi Jabbari Nooghabi ,
Full TextAbstract
It is assumed that in long term studies the lifetimes are positively (negatively) associated random variables. Under some regular conditions, the strong convergence rates of Kaplan-Meier estimator of marginal distribution function F and cumulative hazard function \Lambda are obtained. In order to demonstrate the empirical performance of the results, simulation studies are done.
Keywords
, Censored data, Kaplan-Meier estimator, Negative association, Positive association, Strong consistency, Truncation.
@inproceedings{paperid:1048086,
author = {Jabbari Nooghabi, Hadi},
title = {Kaplan-Meier Estimator for Associated Random Variables Under Left Truncation and Right Censoring},
booktitle = {First Seminar on Reliability Theory and its Applications},
year = {2015},
location = {اصفهان, IRAN},
keywords = {Censored data; Kaplan-Meier estimator; Negative association; Positive association;
Strong consistency; Truncation.},
}
%0 Conference Proceedings
%T Kaplan-Meier Estimator for Associated Random Variables Under Left Truncation and Right Censoring
%A Jabbari Nooghabi, Hadi
%J First Seminar on Reliability Theory and its Applications
%D 2015
