Scopus
🔓 Açık Erişim YÖKSİS Eşleşti
Weighted power Maxwell distribution: Statistical inference and COVID-19 applications
PLoS ONE · Ocak 2023
YÖKSİS Kayıtları
Weighted power Maxwell distribution: Statistical inference and COVID-19 applications
PLoS One · 2023 SCI-Expanded
DOÇENT KADİR KARAKAYA →
Makale Bilgileri
DergiPLoS ONE
Yayın TarihiOcak 2023
Cilt / Sayfa18
Scopus ID2-s2.0-85145428356
Erişim🔓 Açık Erişim
Özet
During the course of this research, we came up with a brand new distribution that is superior; we then presented and analysed the mathematical properties of this distribution; finally, we assessed its fuzzy reliability function. Because the novel distribution provides a number of advantages, like the reality that its cumulative distribution function and probability density function both have a closed form, it is very useful in a wide range of disciplines that are related to data science. One of these fields is machine learning, which is a sub field of data science. We used both traditional methods and Bayesian methodologies in order to generate a large number of different estimates. A test setup might have been carried out to assess the effectiveness of both the classical and the Bayesian estimators. At last, three different sets of Covid-19 death analysis were done so that the effectiveness of the new model could be demonstrated.
Yazarlar (8)
1
Muqrin A. Almuqrin
2
Salemah A. Almutlak
3
Ahmed M. Gemeay
4
Ehab M. Almetwally
5
Kadir Karakaya
6
Nicholas Makumi
7
Eslam Hussam
8
Ramy Aldallal
Kurumlar
Faculty of Business Administration
Mansoura Egypt
Faculty of Science
Helwan Egypt
Faculty of Science
Tanta Egypt
Majmaah University
Al-Majmaah Saudi Arabia
Prince Sattam Bin Abdulaziz University
Al Kharj Saudi Arabia
Saudi Electronic University
Riyadh Saudi Arabia
Selçuk Üniversitesi
Selçuklu Turkey
The Pan African University Institute for Basic Sciences, technology and Innovation (PAUSTI)
Nairobi Kenya
The Scientific Association for Studies and Applied Research
Al Manzalah Egypt
Metrikler
6
Atıf
8
Yazar