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  • 标题:A New Compound Version of the Generalized Lomax Distribution for Modeling Failure and Service Times
  • 本地全文:下载
  • 作者:S. Ansari ; Rezk H. ; Haitham Yousof
  • 期刊名称:Pakistan Journal of Statistics and Operation Research
  • 印刷版ISSN:2220-5810
  • 出版年度:2020
  • 卷号:16
  • 期号:1
  • 页码:95-107
  • DOI:10.18187/pjsor.v16i1.2851
  • 语种:English
  • 出版社:College of Statistical and Actuarial Sciences
  • 摘要:The main goal of this article is to introduce a new extension of the continuous Lomax distribution with a strong physical motivation. Some of its statistical properties such as moments, incomplete moments, moment generating function, quantile function, random number generation, quantile spread ordering and moment of the reversed residual life are derived. Two applications are provided to illustrate the importance and flexibility of the new model.
  • 关键词:Maximum Likelihood Estimation;Quantile Function;Generating Function;Moments;Zero Truncated Poisson
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