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文章基本信息

  • 标题:Modified Maximum Likelihood Estimation from Censored Samples in Burr Type X Distribution
  • 本地全文:下载
  • 作者:R.R.L. Kantam ; M. Subrahmanya Ravikumar
  • 期刊名称:Pakistan Journal of Statistics and Operation Research
  • 印刷版ISSN:2220-5810
  • 出版年度:2015
  • 卷号:11
  • 期号:4
  • 页码:601-629
  • DOI:10.18187/pjsor.v11i4.1060
  • 语种:English
  • 出版社:College of Statistical and Actuarial Sciences
  • 摘要:The two parameter Burr type X distribution is considered and its scale parameter is estimated from a censored sample using the classical maximum likelihood method. The estimating equations are modified to get simpler and efficient estimators. Two methods of modification are suggested. The small sample efficiencies are presented.
  • 其他摘要:The two parameter Burr type X distribution is considered and its scale parameter is estimated from a censored sample using the classical maximum likelihood method. The estimating equations are modified to get simpler and efficient estimators. Two methods of modification are suggested. The small sample efficiencies are presented.
  • 关键词:MLE; Censored Samples; Order Statistics; Asymptotic Variance
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