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Fuzzy Reliability Analysis of the COVID-19 Mortality Rate Using a New Modified Kies Kumaraswamy Model

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  • Fathy H. Riad
  • Bader Alruwaili
  • Ehab M. Almetwally
  • Eslam Hussam
  • Nauman Raza

Abstract

In this paper, we developed a novel superior distribution, demonstrated and derived its mathematical features, and assessed its fuzzy reliability function. The novel distribution has numerous advantages, including the fact that its CDf and PDf have a closed shape, making it particularly relevant in many domains of data science. We used both conventional and Bayesian approaches to make various sorts of estimations. A simulation research was carried out to investigate the performance of the classical and Bayesian estimators. Finally, we fitted a COVID-19 mortality real data set to the suggested distribution in order to compare its efficiency to that of its rivals.

Suggested Citation

  • Fathy H. Riad & Bader Alruwaili & Ehab M. Almetwally & Eslam Hussam & Nauman Raza, 2022. "Fuzzy Reliability Analysis of the COVID-19 Mortality Rate Using a New Modified Kies Kumaraswamy Model," Journal of Mathematics, Hindawi, vol. 2022, pages 1-14, April.
    • Handle: RePEc:hin:jjmath:3427521
    DOI: 10.1155/2022/3427521
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