Fuzzy Reliability Analysis of the COVID-19 Mortality Rate Using a New Modified Kies Kumaraswamy Model
Journal of Mathematics
; 2022, 2022.
Article
in English
| Scopus | ID: covidwho-1909880
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. © 2022 Fathy H. Riad et al.
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
Journal of Mathematics
Year:
2022
Document Type:
Article
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