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  • 标题:Discriminating Between Weibull and Log-Logistic Distributions in Presence of Progressive Type II Censoring
  • 本地全文:下载
  • 作者:Elsayed A. Elsherpieny ; Hiba Z. Muhammed ; Noha U. Radwan
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2015
  • 卷号:4
  • 期号:8
  • 页码:7281
  • DOI:10.15680/IJIRSET.2015.0408107
  • 出版社:S&S Publications
  • 摘要:Weibull and log-logistic distributions are two popular distributions for analyzing lifetime data. In thispaper, the problem of discriminating between these two distribution functions is considered in case of progressive typeII censoring. Progressive type-II censored sampling is an important method of obtaining data in lifetime studies. Liveunits removed early on can be readily used in other tests, thereby saving cost to the experimenter, and a compromisecan be achieved between time consumption and the observation of some extreme values. The ratio of the maximizedlikelihood test is used to discriminate between them. Some simulation experiments were performed to see how theprobability of correct selection (PCS) under each model work for small sample sizes. Real data life is analyzed to seehow the proposed method works in practice.
  • 关键词:Weibull distribution; Log-logistic distribution; Progressive type-II censoring; Maximized likelihood;ratio statistic; Probability of correct selection; Goodness of fit tests.
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