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文章基本信息

  • 标题:Dual Divergence Estimators of the Tail Index
  • 本地全文:下载
  • 作者:Salim Bouzebda ; Mohamed Cherfi
  • 期刊名称:ISRN Probability and Statistics
  • 电子版ISSN:2090-472X
  • 出版年度:2012
  • 卷号:2012
  • DOI:10.5402/2012/746203
  • 出版社:Hindawi Publishing Corporation
  • 摘要:The main purpose of the present paper is to propose a new estimator of the tail index using -divergences and the duality technique. These estimators are explored with respect to robustness through the influence function approach. The empirical performances of the proposed estimators are illustrated by simulation.
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