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  • 标题:Some Results on a Generalized Residual Entropy based on Order Statistics
  • 本地全文:下载
  • 作者:Suchandan Kayal
  • 期刊名称:Statistica
  • 印刷版ISSN:1973-2201
  • 出版年度:2014
  • 卷号:74
  • 期号:4
  • 页码:383-402
  • DOI:10.6092/issn.1973-2201/5500
  • 语种:English
  • 出版社:Dep. of Statistical Sciences "Paolo Fortunati", Università di Bologna
  • 摘要:In the present paper, we discuss some monotone properties of the GRE of order (α, β) in order statistics under various assumptions. It is shown that monotone properties are preserved under the formation of a parallel system but not under the formation of a series system. A counter example is presented. Bounds of the GRE of order statistics are obtained. The GRE of parallel and series systems are shown to be monotone function of the number of observations of a given sample. Numerical simulation is carried out for verification of the theoretical results. Maximum likelihood estimators of GRE of X, X 1:n and X n:n are obtained when independent data are drawn from exponential distribution.
  • 关键词:generalized residual entropy;order statistics;parallel and series systems;maximum likelihood estimator
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