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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Main Authors: Fathy H. Riad, Bader Alruwaili, Ehab M. Almetwally, Eslam Hussam
Format: Article
Language:English
Published: Wiley 2022-01-01
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.
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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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AT ehabmalmetwally fuzzyreliabilityanalysisofthecovid19mortalityrateusinganewmodifiedkieskumaraswamymodel
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