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文章基本信息

  • 标题:A Family of Loss Distributions with an Application to the Vehicle Insurance Loss Data
  • 本地全文:下载
  • 作者:Zubair Ahmad Ahmad ; Eisa Mahmoudi Mahmoudi ; G. G. Hamedani
  • 期刊名称:Pakistan Journal of Statistics and Operation Research
  • 印刷版ISSN:2220-5810
  • 出版年度:2019
  • 卷号:15
  • 期号:3
  • 页码:731-744
  • DOI:10.18187/pjsor.v15i3.2995
  • 出版社:College of Statistical and Actuarial Sciences
  • 摘要:Actuaries are often in search of nding an adequate loss model in the scenario of actuarial and financial risk management problems. In this work, we propose a new approach to obtain a new class of loss distributions. A special sub-model of the proposed family, called the Weibull-loss model isconsidered in detail. Some mathematical properties are derived and maximum likelihood estimates of the model parameters are obtained. Certain characterizations of the proposed family are also provided. A simulation study is done to evaluate the performance of the maximum likelihood estimators. Finally, an application of the proposed model to the vehicle insurance loss data set is presented.
  • 关键词:Family of distributions; Heavy tailed distributions; Weibull distribution; Vehicle insurance losses; Estimation.
  • 其他关键词:Family of distributions;Heavy tailed distributions;Weibull distribution;Vehicle insurance losses;Estimation
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