Empirical Entropy for Right Censored Data

被引:0
作者
Guo-qing ZHAO [1 ]
Wei LIANG [2 ]
Shu-yuan HE [3 ]
机构
[1] School of Mathematical Sciences, Peking University
[2] School of Mathematical Sciences, Xiamen University
[3] School of Mathematical Sciences, Capital Normal University
基金
中国国家自然科学基金;
关键词
right censored data; empirical entropy;
D O I
暂无
中图分类号
O212.1 [一般数理统计];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The maximum entropy method has been widely used in many fields, such as statistical mechanics,economics, etc. Its crucial idea is that when we make inference based on partial information, we must use the distribution with maximum entropy subject to whatever is known. In this paper, we investigate the empirical entropy method for right censored data and use simulation to compare the empirical entropy method with the empirical likelihood method. Simulations indicate that the empirical entropy method gives better coverage probability than that of the empirical likelihood method for contaminated and censored lifetime data.
引用
收藏
页码:395 / 404
页数:10
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