Weak convergence of TJW product-limit estimator under association

被引:0
|
作者
Shabani, Amir Hossein [1 ]
Jabbari, Hadi [1 ]
Fakoor, Vahid [1 ]
机构
[1] Ferdowsi Univ Mashhad, Ordered & Spatial Data Ctr Excellence, Dept Stat, Mashhad, Razavi Khorasan, Iran
来源
STAT | 2019年 / 8卷 / 01期
关键词
negative and positive association; plug-in estimator; product-limit estimator; random left truncation and right censoring; weak convergence; COPULA-GRAPHIC ESTIMATOR; KAPLAN-MEIER ESTIMATOR; SURVIVAL FUNCTION; CENSORED-DATA; DEPENDENCE;
D O I
10.1002/sta4.217
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The estimation of a survival function and its asymptotic behaviour under the random left truncation and right censor model have been extensively studied over the past few decades. In application, the assumption of independence between cases is often not true. To the best of our knowledge, there is no study in the current literature addressing weak convergence of the estimator of the survival function under this model. The current article studies the weak convergence of the Tsai-Jewell-Wang estimator under the positive or negative association, the main results of which are used to analyse a real data set.
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页数:7
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