Frontiers in Applied Mathematics and Statistics (Mar 2023)

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

  • Moulouk Halima Benchettah,
  • Halim Zeghdoudi,
  • Vinoth Raman

DOI
https://doi.org/10.3389/fams.2023.1137036
Journal volume & issue
Vol. 9

Abstract

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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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