Edgeworth expansion of the Studentized product-limit estimator for truncated and censored data

被引：0
|
作者：
孙六全
机构：
[1] Academy of Mathematics and System Sciences
[2] Chinese Academy of Sciences
[3] China
[4] Beijing 100080
[5] Institute of Applied Mathematics
来源：
Science China Mathematics | 2000年 / 05期
关键词：
truncated and censored data; Studentized product-limit estimator; asymptotic normality; Edge- worth expansion;
D O I：
暂无
中图分类号：
O212 [数理统计];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
Based on random left truncated and right censored data we investigate the one-term Edgeworth expansion for the Studentized product-limit estimator, and show that the Edgeworth expan-sion is close to the exact distribution of the Studentized product-limit estimator with a remainder of
引用
收藏
页码：495 / 508
页数：14
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