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文章基本信息

  • 标题:INFERENCE ON P(X < Y ) FOR EXPONENTIATED FAMILY OF DISTRIBUTIONS
  • 本地全文:下载
  • 作者:Sudhansu S. Maiti ; Sudhir Murmu
  • 期刊名称:Pakistan Journal of Statistics and Operation Research
  • 印刷版ISSN:2220-5810
  • 出版年度:2011
  • 卷号:7
  • 期号:2
  • 页码:109-138
  • DOI:10.1234/pjsor.v7i2.208
  • 语种:English
  • 出版社:College of Statistical and Actuarial Sciences
  • 摘要:Inference on R = P(X < Y ) has been considered when X and Y belong to independent exponentiated family of distributions. Maximum Likelihood Estimator (MLE), Uniformly Minimum Variance Unbiased Estimator (UMVUE) and Bayes Estimator of R has been derived and compared through simulation study. Exact and approximate confidence intervals and Bayesian credible intervals have also been derived.
  • 关键词:Bayes Estimator, Confidence Interval, Credible Interval, Delta Method,Markov Chain Monte Carlo, Maximum Likelihood Estimator, Uniformly Minimum Variance Unbiased Estimator
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