A LAW OF ITERATED LOGARITHM FOR THE MLE IN A RANDOM CENSORING MODEL WITH INCOMPLETE INFORMATION 被引量：2

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

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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.

作者宋凤丽刘禄勤

机构地区 School of Mathematics and Statistics

出处《Acta Mathematica Scientia》 SCIE CSCD 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)

关键词 Random censoring model maximum likelihood estimator law of iterated logarithm Random censoring model, maximum likelihood estimator, law of iterated logarithm

分类号 O211 [理学—概率论与数理统计]

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参考文献4

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同被引文献13

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1童行伟,胡涛,崔恒建.HAZARD REGRESSION WITH PENALIZED SPLINE:THE SMOOTHING PARAMETER CHOICE AND ASYMPTOTICS[J].Acta Mathematica Scientia,2010,30(5):1759-1768. 被引量：1
2CHEN Yurong,LIU Luqin.Maximum Likelihood Estimator for the Proportional Hazards Model with Incomplete Information[J].Wuhan University Journal of Natural Sciences,2012,17(2):97-102.

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2008年第3期

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