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文章基本信息

  • 标题:Some Extended Classes of Distributions: Characterizations and Properties
  • 本地全文:下载
  • 作者:Gholam Hossein G Gamedani ; G. M. Cordeiro ; M. C. S. Lima
  • 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:893-908
  • DOI:10.18187/pjsor.v13i4.2147
  • 语种:English
  • 出版社:College of Statistical and Actuarial Sciences
  • 其他摘要:Based on a simple relationship between two truncated moments and certain functions of the th order statistic, we characterize some extended classes of distributions recently proposed in the statistical literature, videlicet Beta-G, Gamma-G, Kumaraswamy-G and McDonald-G. Several properties of these extended classes and some special cases are discussed. We compare these classes in terms of goodness-of-fit criteria using some baseline distributions by means of two real data sets.
  • 关键词:Beta exponential;Beta extended Weibull;Characterization;Gamma extended Weibull;Generalized McDonald;McDonald normal;Kumaraswamy-inverse Weibull
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