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  • 标题:The Extended Burr XII Distribution with Variable Shapes for the Hazard Rate
  • 本地全文:下载
  • 作者:T. H. M. Abouelmagd ; M. S. Hamed ; Ahmed Z. Afify
  • 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:687-698
  • DOI:10.18187/pjsor.v13i3.2083
  • 语种:English
  • 出版社:College of Statistical and Actuarial Sciences
  • 摘要:We define and study a new continuous distribution called the exponentiated Weibull Burr XII. Its density function can be expressed as a linear mixture of Burr XII. Its hazard rate is very flexibile in accomodating various shapes including constant, decreasing, increasing, J-shape, unimodal or bathtub shapes. Various of its structural properties are investigated including explicit expressions for the ordinary and incomplete moments, generating function, mean residual life, mean inactivity time and order statistics. We adopted the maximum likelihood method for estimating the model parameters. The flexibility of the new family is illustrated by means of a real data application.
  • 其他摘要:We define and study a new continuous distribution called the exponentiated Weibull Burr XII. Its density function can be expressed as a linear mixture of Burr XII. Its hazard rate is very flexibile in accomodating various shapes including constant, decreasing, increasing, J-shape, unimodal or bathtub shapes. Various of its structural properties are investigated including explicit expressions for the ordinary and incomplete moments, generating function, mean residual life, mean inactivity time and order statistics. We adopted the maximum likelihood method for estimating the model parameters. The flexibility of the new family is illustrated by means of a real data application.
  • 关键词:Burr XII Distribution; Exponentiated Weibull-H family; Generating Function; Maximum Likelihood.
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