A LAW OF ITERATED LOGARITHM FOR THE MLE IN A RANDOM CENSORING MODEL WITH INCOMPLETE INFORMATION  

作　　者：宋凤丽 刘禄勤 

机构地区：[1]School of Mathematics and Statistics, Wuhan University

出　　处：《Acta Mathematica Scientia》2008年第3期501-512,共12页数学物理学报（B辑英文版）

基　　金：Supported by NNSFC (10771163)

摘　　要：In this article, a law of iterated logarithm for the maximum likelihood estimator in a random censoring model with incomplete information under certain regular conditions is obtained.In this article, a law of iterated logarithm for the maximum likelihood estimator in a random censoring model with incomplete information under certain regular conditions is obtained.

关 键 词：Random censoring model maximum likelihood estimator law of iterated logarithm 

分 类 号：O211[理学—概率论与数理统计]