数学物理学报

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不完全信息随机截尾模型的MLE 的Chung 重对数律

朱强; 高付清   

  1. 华中农业大学理学院 武汉 430070
  • 收稿日期:2005-12-30 修回日期:2006-12-27 出版日期:2007-08-25 发布日期:2007-08-25
  • 通讯作者: 朱强
  • 基金资助:
    国家自然科学基金(10271091)资助

A Chung Type Law of the Iterated Logarithm of MLE in Random Censoring Model with Incomplete Information

Zhu Qiang; Gao Fuqing   

  1. School of Sciences, Huazhong Agriculture University, Wuhan 430070
  • Received:2005-12-30 Revised:2006-12-27 Online:2007-08-25 Published:2007-08-25
  • Contact: Zhu Qiang

摘要: 在一定条件下,证明不完全信息随机截尾模型的MLE 满足 Chung重对数律. 作为其推论得到:不完全信息随机截尾试验下,指数分布和Weibull 分布的MLE 满足Chung 重对数律.

关键词: 不完全信息随机截尾, Weilbull 分布, MLE, Chung重对数律

Abstract: In this paper, the authors prove that the MLE in random censoring model with incomplete information obeys the Chung type law of the iterated logarithm under some mild conditions. As a corollary, the Chung type laws of the iterated logarithm of the MLE of parameters of exponential lifetime distribution and Weibull distribution are obtained.

Key words: Random censoring model with incomplete information, Weibull distribution, MLE, Chung type law of the iterated logarithm

中图分类号: 

  • 62F12