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  • 标题:A New Five-Parameter Fréchet Model for Extreme Values
  • 本地全文:下载
  • 作者:Muhammad Ahsan ul Haq ; Haitham M. Yousof ; Sharqa Hashmi
  • 期刊名称:Pakistan Journal of Statistics and Operation Research
  • 印刷版ISSN:2220-5810
  • 出版年度:2017
  • 卷号:13
  • 期号:3
  • 页码:617-632
  • DOI:10.18187/pjsor.v13i3.1727
  • 语种:English
  • 出版社:College of Statistical and Actuarial Sciences
  • 摘要:A new five parameter Fréchet model for Extreme Values was proposed and studied. Various mathematical properties including moments, quantiles, and moment generating function were derived. Incomplete moments and probability weighted moments were also obtained. The maximum likelihood method was used to estimate the model parameters. The flexibility of the derived model was accessed using two real data set applications.
  • 其他摘要:A new five parameter Fréchet model for Extreme Values was proposed and studied. Various mathematical properties including moments, quantiles, and moment generating function were derived. Incomplete moments and probability weighted moments were also obtained. The maximum likelihood method was used to estimate the model parameters. The flexibility of the derived model was accessed using two real data set applications.
  • 关键词:Fréchet; Weibull-G; Moments; Hazard rate; hazard rate; Maximum Likelihood.
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