TY - JOUR
T1 - Fuzzy Reliability Analysis of the COVID-19 Mortality Rate Using a New Modified Kies Kumaraswamy Model
AU - Riad, Fathy H.
AU - Alruwaili, Bader
AU - Almetwally, Ehab M.
AU - Hussam, Eslam
N1 - Publisher Copyright:
© 2022 Fathy H. Riad et al.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85132362533&partnerID=8YFLogxK
U2 - 10.1155/2022/3427521
DO - 10.1155/2022/3427521
M3 - Article
AN - SCOPUS:85132362533
SN - 2314-4629
VL - 2022
JO - Journal of Mathematics
JF - Journal of Mathematics
M1 - 3427521
ER -
