On composite length-biased exponential-Pareto distribution: Properties, simulation, and application in actuarial science

被引:1
|
作者
Benchettah, Moulouk Halima [1 ]
Zeghdoudi, Halim [1 ]
Raman, Vinoth [2 ]
机构
[1] Badji Mokhtar Univ, LaPS Lab, Annaba, Algeria
[2] Imam Abdulrahman Bin Faisal Univ, Dept Qual Measurement & Evaluat, Deanship Qual & Acad Accreditat, Dammam, Saudi Arabia
关键词
composite distribution; Pareto distribution; length-biased exponential; maximum-likelihood estimation; quantile function;
D O I
10.3389/fams.2023.1137036
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
The composite length-biased exponential-Pareto (CLBEP) distribution is a new composite distribution that is introduced in this article. This model's probability density function, moments, and quantiles, among other statistical characteristics, are determined mathematically. The parameters' maximum-likelihood estimation and stochastic ordering are discussed. A comparison study with other new composite and conventional distributions is also included. Specifically, using two actual fire insurance data sets, the goodness of fit of this new model is contrasted with the composite exponential-Pareto, composite lognormal-Pareto, and composite Rayleigh-Pareto distributions (Algerian and Danish fire insurance losses). 2010 AMS subject classifications62E10; 60E05.
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页数:7
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