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A Flexible Extension of Reduced Kies Distribution: Properties, Inference, and Applications in Biology

Author

Listed:
  • Muqrin A. Almuqrin
  • Ahmed M. Gemeay
  • M. M. Abd El-Raouf
  • Mutua Kilai
  • Ramy Aldallal
  • Eslam Hussam

Abstract

The extended reduced Kies distribution (ExRKD), which is an asymmetric flexible extension of the reduced Kies distribution, is the subject of this research. Some of its most basic mathematical properties are deduced from its formal definitions. We computed the ExRKD parameters using eight well‐known methods. A full simulation analysis was done that allows the study of these estimators’ asymptotic behavior. The efficiency and applicability of the ExRKD are investigated via the modeling of COVID‐19 and milk data sets, which demonstrates that the ExRKD delivers a better match to the data sets when compared to competing models.

Suggested Citation

  • Muqrin A. Almuqrin & Ahmed M. Gemeay & M. M. Abd El-Raouf & Mutua Kilai & Ramy Aldallal & Eslam Hussam, 2022. "A Flexible Extension of Reduced Kies Distribution: Properties, Inference, and Applications in Biology," Complexity, John Wiley & Sons, vol. 2022(1).
    • Handle: RePEc:wly:complx:v:2022:y:2022:i:1:n:6078567
    DOI: 10.1155/2022/6078567
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    References listed on IDEAS

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    1. Gómez-Déniz, Emilio & Sordo, Miguel A. & Calderín-Ojeda, Enrique, 2014. "The Log–Lindley distribution as an alternative to the beta regression model with applications in insurance," Insurance: Mathematics and Economics, Elsevier, vol. 54(C), pages 49-57.
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    Cited by:

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