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A new heavy-tailed generalised exponentiated half logistic-G distribution with actuarial measures and applications

Author

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  • Thatayaone Moakofi
  • Agolame Puoetsile
  • Broderick Oluyede

Abstract

This work introduces and investigates the new heavy-tailed generalised exponentiated half logistic-G (HT-GEN-EHL-G) family of distributions. The study involves the derivation and analysis of statistical properties associated with HT-GEN-EHL-G distribution. Employing the maximum likelihood estimation technique, we estimate model parameters and evaluate the consistency of these estimators through simulation studies. Additionally, we develop actuarial metrics (risk measures) tailored to this distribution. The practical utility of the HT-GEN-EHL-G family of distributions is demonstrated through the analysis of four real-life datasets from diverse fields. These applications emphasise the significance and versatility of the newly introduced HT-GEN-EHL-G family of distributions.

Suggested Citation

  • Thatayaone Moakofi & Agolame Puoetsile & Broderick Oluyede, 2025. "A new heavy-tailed generalised exponentiated half logistic-G distribution with actuarial measures and applications," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 30(4), pages 501-538.
    • Handle: RePEc:ids:ijmore:v:30:y:2025:i:4:p:501-538
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