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文章基本信息

  • 标题:On the Harris-G class of distributions: General results and application
  • 本地全文:下载
  • 作者:Luis Gustavo Bastos Pinho ; Gauss Moutinho Cordeiro ; Juvêncio Santos Nobre
  • 期刊名称:Brazilian Journal of Probability and Statistics
  • 印刷版ISSN:0103-0752
  • 出版年度:2015
  • 卷号:29
  • 期号:4
  • 页码:813-832
  • DOI:10.1214/14-BJPS248
  • 语种:English
  • 出版社:Brazilian Statistical Association
  • 摘要:We investigate some properties of the Harris-G class of distributions (Sankhya B 73 (2011) 70–80). We demonstrate that the density function of the Harris-G class can be expressed as a linear combination of density functions of the exponentiated baseline distribution. We provide general formulas for moments (raw, centered, incomplete and factorial), quantile function, generating functions and entropies. Two numerical examples are presented to demonstrate the potentiality of the models in this class. The first one applies the Harris–Burr XII distribution to model bimodal data. The second example uses the Harris-exponential distribution to model SAR image data. The results of the fitted models look promising.
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