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文章基本信息

  • 标题:Characterizations of Kumaraswamy-Laplace, McDonald Inverse Weibull and New Generalized Exponential Distributions
  • 本地全文:下载
  • 作者:Dr. G.G. Hamedani
  • 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:4
  • 页码:727-737
  • DOI:10.18187/pjsor.v13i4.1697
  • 语种:English
  • 出版社:College of Statistical and Actuarial Sciences
  • 其他摘要:Nassar (2016) considers an interesting univariate continuous distribution called Kumaraswamy-Laplace which has different forms on two subintervals. He studies certain properties and applications of this distribution. Shahbaz et al. (2016) consider another interesting distribution called McDonald Inverse Weibull distribution. They present some basic properties of their distribution and study the estimations of the parameters as well as discussing its application via an illustrative example. What is lacking in both papers, in our opinion, is the characterizations of these two interesting distributions. the present work is intended to complete, in some way, the works of Nassar and Shahbaz et al. via establishing certain characterizations of these distributions in four directions. We also introduce several New generalized Exponential distributions and present their characterizations as well.
  • 关键词:Kumaraswamy distribution; Laplace distribution; McDonald distribution; Generalized exponential distribution; Characterizations
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