Fuzzy Reliability Analysis of the COVID-19 Mortality Rate Using a New Modified Kies Kumaraswamy Model
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...
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Format: | Article |
Language: | English |
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Wiley
2022-01-01
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Series: | Journal of Mathematics |
Online Access: | http://dx.doi.org/10.1155/2022/3427521 |
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author | Fathy H. Riad Bader Alruwaili Ehab M. Almetwally Eslam Hussam |
author_facet | Fathy H. Riad Bader Alruwaili Ehab M. Almetwally Eslam Hussam |
author_sort | Fathy H. Riad |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-0dc7b756b21a41e791b472555cf7ef88 |
institution | Kabale University |
issn | 2314-4785 |
language | English |
publishDate | 2022-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Mathematics |
spelling | doaj-art-0dc7b756b21a41e791b472555cf7ef882025-02-03T01:22:58ZengWileyJournal of Mathematics2314-47852022-01-01202210.1155/2022/3427521Fuzzy Reliability Analysis of the COVID-19 Mortality Rate Using a New Modified Kies Kumaraswamy ModelFathy H. Riad0Bader Alruwaili1Ehab M. Almetwally2Eslam Hussam3Mathematics DepartmentMathematics DepartmentFaculty of Business AdministrationDepartment of MathematicsIn 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.http://dx.doi.org/10.1155/2022/3427521 |
spellingShingle | Fathy H. Riad Bader Alruwaili Ehab M. Almetwally Eslam Hussam Fuzzy Reliability Analysis of the COVID-19 Mortality Rate Using a New Modified Kies Kumaraswamy Model Journal of Mathematics |
title | Fuzzy Reliability Analysis of the COVID-19 Mortality Rate Using a New Modified Kies Kumaraswamy Model |
title_full | Fuzzy Reliability Analysis of the COVID-19 Mortality Rate Using a New Modified Kies Kumaraswamy Model |
title_fullStr | Fuzzy Reliability Analysis of the COVID-19 Mortality Rate Using a New Modified Kies Kumaraswamy Model |
title_full_unstemmed | Fuzzy Reliability Analysis of the COVID-19 Mortality Rate Using a New Modified Kies Kumaraswamy Model |
title_short | Fuzzy Reliability Analysis of the COVID-19 Mortality Rate Using a New Modified Kies Kumaraswamy Model |
title_sort | fuzzy reliability analysis of the covid 19 mortality rate using a new modified kies kumaraswamy model |
url | http://dx.doi.org/10.1155/2022/3427521 |
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