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  • 标题:The Modified Burr III G family of Distributions
  • 本地全文:下载
  • 作者:Shahzadi Arifa ; Mohammad Zafar Yab ; Azeem Ali
  • 期刊名称:Journal of Data Science
  • 印刷版ISSN:1680-743X
  • 电子版ISSN:1683-8602
  • 出版年度:2017
  • 卷号:15
  • 期号:1
  • 页码:41-60
  • 出版社:Tingmao Publish Company
  • 摘要:We introduce a new family of distributions based on a generalized Burr III generator called Modified Burr III G family and study some of its mathematical properties. Its density function can be bell-shaped, left-skewed, right-skewed, bathtub, J or reversed-J. Its hazard rate can be increasing or decreasing, bathtub, upside-down bathtub, J and reversed-J. Some of its special models are presented. We illustrate the importance of the family with two applications to real data sets.
  • 关键词:Burr family of distributions; generalized family; hazard rate; maximum likelihood estimation.
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