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  • 标题:On shrinkage estimators improving the James-Stein estimator under balanced loss function
  • 本地全文:下载
  • 作者:Abdenour Hamdaoui ; Mekki Terbeche ; Abdelkader Benkhaled
  • 期刊名称:Pakistan Journal of Statistics and Operation Research
  • 印刷版ISSN:2220-5810
  • 出版年度:2021
  • 卷号:17
  • 期号:3
  • 页码:711-727
  • DOI:10.18187/pjsor.v17i3.3663
  • 语种:English
  • 出版社:College of Statistical and Actuarial Sciences
  • 摘要:In this paper, we are interested in estimating a multivariate normal mean under the balanced loss function using the shrinkage estimators deduced from the Maximum Likelihood Estimator (MLE). First, we consider a class of estimators containing the James-Stein estimator, we then show that any estimator of this class dominates the MLE, consequently it is minimax. Secondly, we deal with shrinkage estimators which are not only minimax but also dominate the James- Stein estimator.
  • 关键词:Balanced loss function; James-Stein estimator; minimax estimator; non-central chi-square distribution; shrinkage estimators
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