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  • 标题:A New Generating Family of Distributions: Properties and Applications to the Weibull Exponential Model
  • 本地全文:下载
  • 作者:El-Sayed A. El-Sherpieny ; Salwa Assar ; Tamer Helal
  • 期刊名称:Journal of Modern Applied Statistical Methods
  • 出版年度:2020
  • 卷号:19
  • 期号:1
  • 语种:English
  • 出版社:Wayne State University
  • 摘要:A new method for generating family of distributions was proposed. Some fundamental properties of the new proposed family include the quantile, survival function, hazard rate function, reversed hazard and cumulative hazard rate functions are provided. This family contains several new models as sub models, such as the Weibull exponential model which was defined and discussed its properties. The maximum likelihood method of estimation is using to estimate the model parameters of the new proposed family. The flexibility and the importance of the Weibull-exponential model is assessed by applying it to a real data set and comparing it with other known models.
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