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  • 标题:A NEW DISTRIBUTION FOR EXTREME VALUES : REGRESSION MODEL , CHARACTERIZATIONS AND APPLICATIONS
  • 本地全文:下载
  • 作者:H. M. Yousof ; S. M. A. Jahanshahi ; T. G. Ramires
  • 期刊名称:Journal of Data Science
  • 印刷版ISSN:1680-743X
  • 电子版ISSN:1683-8602
  • 出版年度:2018
  • 卷号:16
  • 期号:4
  • 页码:677-706
  • DOI:10.6339/JDS.201810_16(4).00002
  • 出版社:Tingmao Publish Company
  • 摘要:A new four parameter extreme value distribution is defined and studied. Various structural properties of the proposed distribution including ordinary and incomplete moments, generating functions, residual and reversed residual life functions, order statistics are investigated. Some useful characterizations based on two truncated moments as well as based on the reverse hazard function and on certain functions of the random variable are presented. The maximum likelihood method is used to estimate the model parameters. Further, we propose a new extended regression model based on the logarithm of the new distribution. The new distribution is applied to model three real data sets to prove empirically its flexibility.
  • 关键词:Extreme value distribution;Regression model;Order statistics;Parameter estimation;Simulation.
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