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文章基本信息

  • 标题:Inferences under a Class of Finite Mixture Distributions Based on Generalized Order Statistics
  • 本地全文:下载
  • 作者:Abd EL-Baset A. Ahmad ; Areej M. AL-Zaydi
  • 期刊名称:Open Journal of Statistics
  • 印刷版ISSN:2161-718X
  • 电子版ISSN:2161-7198
  • 出版年度:2013
  • 卷号:3
  • 期号:4
  • 页码:231-244
  • DOI:10.4236/ojs.2013.34027
  • 出版社:Scientific Research Publishing
  • 摘要:The main purpose of this paper is to obtain estimates of parameters, reliability and hazard rate functions of a heterogeneous population represented by finite mixture of two general components. The doubly Type II censoring of generalized order statistics scheme is used. Maximum likelihood and Bayes methods of estimation are used for this purpose. The two methods of estimation are compared via a Monte Carlo Simulation study.
  • 关键词:Generalized Order Statistics; Bayes Estimation; Heterogeneous Population; Monte Carlo Integration; Monte Carlo Simulation
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