A KULLBACK-LEIBLER EMPIRICAL LIKELIHOOD INFERENCE FOR CENSORED DATA

被引：0

作者：

SHI Jian Institute of Systems Science AMSS Chinese Academy of Sciences Beijing China TaiShing Lau Department of Statistics The Chinese University of Hong Kong Shatin NT Hong Kong China ^{[100080
]}

机构：

来源：

Journal of Systems Science and Complexity | 2002年 / 01期

关键词：

D O I：

暂无

中图分类号：

O212 [数理统计];

学科分类号：

摘要：

In this paper, two kinds of Kullback-Leibler criteria with appropriate constraints are proposed to construct empirical likelihood confidence intervals for the mean of right censored data. It is shown that one of the criteria is equivalent to Adimari's(1997) procedure, and the other shares the same asymptotic behavior.

引用

页码：77 / 84

页数：8