文章基本信息

标题：Modified Maximum Likelihood Estimation from Censored Samples in Burr Type X Distribution
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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