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文章基本信息

  • 标题:Weibull Generalized Flexible Weibull Extension Distribution
  • 本地全文:下载
  • 作者:Abdelfattah Mustafa ; Beih S. El-Desouky ; Shamsan AL-Garash
  • 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:3
  • 页码:453-478
  • 出版社:Tingmao Publish Company
  • 摘要:This paper introduces a new four parameters model called the Weibull Generalized Flexible Weibull extension (WGFWE) distribution which exhibits bathtub-shaped hazard rate. Some of it’s statistical properties are obtained including ordinary and incomplete moments, quantile and generating functions, reliability and order statistics. The method of maximum likelihood is used for estimating the model parameters and the observed Fisher’s information matrix is derived. We illustrate the usefulness of the proposed model by applications to real data.
  • 关键词:Weibull-G class; Flexible Weibull Extension distribution; Generalized Weibull; Reliability; Hazard function; Moments; Maximum likelihood estimation.
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