数学物理学报(英文版)

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

宋凤丽; 刘禄勤   

  1. 武汉大学数学与统计学院, 武汉 430072
  • 收稿日期:2006-06-18 修回日期:1900-01-01 出版日期:2008-07-20 发布日期:2008-07-20
  • 通讯作者: 宋凤丽
  • 基金资助:

    Supported by NNSFC (10771163)

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

Song Fengli; Liu Luqin   

  1. School of Mathematics and Statistics, Wuhan University, Wuhan 430072, China
  • Received:2006-06-18 Revised:1900-01-01 Online:2008-07-20 Published:2008-07-20
  • Contact: Song Fengli

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.

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

Abstract:

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.

Key words: Random censoring model, maximum likelihood estimator, law of iterated logarithm

中图分类号: 

  • 60F15