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  • 标题:The Kumaraswamy Transmuted-G Family of Distributions: Properties and Applications
  • 本地全文:下载
  • 作者:Ahmed Z. Afify ; Gauss M. Cordeiro ; Haitham M. Yousof
  • 期刊名称:Journal of Data Science
  • 印刷版ISSN:1680-743X
  • 电子版ISSN:1683-8602
  • 出版年度:2016
  • 卷号:14
  • 期号:2
  • 页码:245-270
  • 出版社:Tingmao Publish Company
  • 摘要:We introduce a new class of continuous distributions called the Ku-maraswamy transmuted-G family which extends the transmuted class defined by Shaw and Buckley (2007). Some special models of the new family are provided. Some of its mathematical properties including explicit expressions for the ordinary and incomplete moments, generating function, Rényi and Shannon entropies, order statistics and probability weighted moments are derived. The maximum likelihood is used for estimating the model parameters. The flexibility of the generated family is illustrated by means of two applications to real data sets.
  • 关键词:Generating Function; Kumaraswamy-G Family; Maximum Likelihood; Order Statistic; Probability Weighted Moment; Transmuted Family.
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