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  • 标题:The Weibull-G Poisson Family for Analyzing Lifetime Data
  • 本地全文:下载
  • 作者:Haitham Yousof ; Muhammad Mansoor ; Morad Alizadeh
  • 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:131-148
  • DOI:10.18187/pjsor.v16i1.2840
  • 语种:English
  • 出版社:College of Statistical and Actuarial Sciences
  • 摘要:We study a new family of distributions defined by the minimum of the Poissonrandom number of independent identically distributed random variables having a general Weibull-G distribution (see Bourguignon et al. (2014)). Some mathematical properties of the new family including ordinary and incomplete moments, quantile and generating functions, mean deviations, order statistics, reliability and entropies are derived. Maximum likelihood estimation of the model parameters is investigated. Three special models of the new family are discussed. We perform three applications to real data sets to show the potentiality of theproposed family.
  • 关键词:Weibull-G family;Entropy;Generating Function;Maximum Likelihood;Order Statistic
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