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  • 标题:On the Generalized Hill Process for Small Parameters and Applications
  • 本地全文:下载
  • 作者:Gane Samb Lo ; El Hadji Deme ; Aliou Diop
  • 期刊名称:Journal of Statistical Theory and Applications (JSTA)
  • 电子版ISSN:1538-7887
  • 出版年度:2013
  • 卷号:12
  • 期号:1
  • 页码:23-40
  • DOI:10.2991/jsta.2013.12.1.3
  • 语种:English
  • 出版社:Atlantis Press
  • 摘要:This motivated Diop and Lo [6] to find out asymptotic normality results for this family in order to construct statistical tests. Although their results seem to be valuable, they restricted themselves to values tT > 1/2. Actually, this restriction is imposed by the so-called Hungarian approximation methods based on M. Csérgé er al. [1] results that they used. It is then necessary to call for another approach to get around this obstacle.
  • 关键词:Extreme values theory; Asymptotic distribution; Functional Gaussian and nongaussian laws; Uniform Keywords: Extreme values theory; Asymptotic distribution; Functional Gaussian and nongaussian laws; Uniform entropy numbers; Asymptotic tightness;Stochastic process of estimators of extremal index; S
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