New Weibull-Pareto Poisson distribution: properties, actuarial measures and applications

A new power series distribution called the new Weibull-Pareto Poisson distribution is developed. The proposed model is very flexible in modelling heavy-tailed data. Some of the statistical properties are also derived and these include moments, moment generating function, and Rényi entropy. We derive the maximum likelihood estimates of the model parameters. We also derive risk measures, conduct and present their numerical simulations. Numerical simulations results for actuarial risk measures show that the new developed model is heavy-tailed compared to its nested models and some competing models. A Monte Carlo simulation study was also conducted to evaluate the consistency of the model parameter estimates. The results from this study confirm that the developed model produce consistent and reliable parameter estimates. Two heavy-tailed real data examples are used to demonstrate the usefulness of the new proposed model.

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Publication Details

Journal
International Journal of Mathematics in Operational Research
Published
2025-01-01
DOI
https://doi.org/10.1504/ijmor.2025.146353
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
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article

New Weibull-Pareto Poisson distribution: properties, actuarial measures and applications

Mavis Pararai, Fastel Chipepa, Wilbert Nkomo
International Journal of Mathematics in Operational Research
Statistical Distribution Estimation and Applications
article

New Weibull-Pareto Poisson distribution: properties, actuarial measures and applications

Mavis Pararai, Fastel Chipepa, Wilbert Nkomo
article en

Abstract

A new power series distribution called the new Weibull-Pareto Poisson distribution is developed. The proposed model is very flexible in modelling heavy-tailed data. Some of the statistical properties are also derived and these include moments, moment generating function, and Rényi entropy. We derive the maximum likelihood estimates of the model parameters. We also derive risk measures, conduct and present their numerical simulations. Numerical simulations results for actuarial risk measures show that the new developed model is heavy-tailed compared to its nested models and some competing models. A Monte Carlo simulation study was also conducted to evaluate the consistency of the model parameter estimates. The results from this study confirm that the developed model produce consistent and reliable parameter estimates. Two heavy-tailed real data examples are used to demonstrate the usefulness of the new proposed model.

International Journal of Mathematics in Operational ResearchVol. 30(4)
Indiana University of Pennsylvania (US), Botswana International University of Science and Technology (BW)
Openalex Percentile: Top 88%
Statistical Distribution Estimation and Applications
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New Weibull-Pareto Poisson distribution: properties, actuarial measures and applications — Mavis Pararai, Fastel Chipepa, et al. · International Journal of Mathematics in Operational Research (2025) | TGRS Research Map | TGRS