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  • 标题:Analysis of Exponential Distribution Under Adaptive Type-I Progressive Hybrid Censored Competing Risks Data
  • 本地全文:下载
  • 作者:Mazen mohammed Nassar ; samir kamel ashour
  • 期刊名称:Pakistan Journal of Statistics and Operation Research
  • 印刷版ISSN:2220-5810
  • 出版年度:2014
  • 卷号:10
  • 期号:2
  • 页码:229-245
  • DOI:10.1234/pjsor.v10i2.705
  • 语种:English
  • 出版社:College of Statistical and Actuarial Sciences
  • 摘要:A competing risks model based on exponential distribution is considered under adaptive type-I progressive hybrid censoring scheme. We investigate the maximum likelihood estimation and Bayesian estimation for the distribution parameter. The Bayes estimate of the unknown parameter is obtained based on squared error and LINEX loss functions under the assumption of gamma prior. The asymptotic confidence intervals, the Bayes credible intervals and two parametric bootstrap confidence intervals are also proposed. To evaluate the performance of the estimators, a simulation study is carried out. Normal 0 false false false EN-US X-NONE AR-SA
  • 关键词:Competing risks, Adaptive type-I progressive hybrid censoring, Exponential distribution, Maximum likelihood estimation, Bayesian estimation, Bootstrap confidence intervals.
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