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  • 标题:Characterization of Exponential Distribution Through Normalized Spacing of Generalized Order Statistics
  • 本地全文:下载
  • 作者:M.J.S. Khan ; S. Iqrar ; M. Faizan
  • 期刊名称:Journal of Statistical Theory and Applications (JSTA)
  • 电子版ISSN:1538-7887
  • 出版年度:2019
  • 卷号:18
  • 期号:3
  • 页码:303-308
  • DOI:10.2991/jsta.d.190818.004
  • 语种:English
  • 出版社:Atlantis Press
  • 摘要:In this paper, exponential distribution is characterized by normalized spacing of generalized order statistics (gos) using Meijer's G-function. While the necessary part of the theorem was given by U. Kamps, E. Cramer, Statistics. 35 (2001), 269–280, we have given an easy proof of sufficient part in this paper. This paper contains the result of characterization of exponential distribution through normalized spacing of order statistics, sequential order statistics, progressive type II censoring and record values. Also, by simulation study, we have shown that the confidence interval based on upper records is shorter in length than asymptotic confidence interval constructed by maximum likelihood estimate.
  • 关键词:Continuous distribution; Generalized order statistics; Meijer's G-function; Characterization
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