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  • 标题:Stochastic Comparisons of Extreme Order Statistics in the Heterogeneous Exponentiated Scale Model
  • 本地全文:下载
  • 作者:Esmaeil Bashkar ; Hamzeh Torabi ; Rasool Roozegar
  • 期刊名称:Journal of Statistical Theory and Applications (JSTA)
  • 电子版ISSN:1538-7887
  • 出版年度:2017
  • 卷号:16
  • 期号:2
  • 页码:221-240
  • DOI:10.2991/jsta.2017.16.2.7
  • 语种:English
  • 出版社:Atlantis Press
  • 摘要:The effect of heterogeneity on order statistics has attracted much attention in recent decades. In this paper, first, we discuss stochastic comparisons of extreme order statistics from independent heterogeneous exponentiated scale samples. These comparisons are made with respect to usual stochastic, reversed hazard rate and likelihood ratio orderings. Then, in the presence of the Archimedean copula or survival copula for the random variables, we obtain the usual stochastic order of the sample extremes. In addition, some examples and applications are illustrated.
  • 关键词:Archimedean copula; exponentiated scale model; majorization; parallel system; series system.
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