TY - JOUR
T1 - Weighted power Maxwell distribution
T2 - Statistical inference and COVID-19 applications
AU - Almuqrin, Muqrin A.
AU - Almutlak, Salemah A.
AU - Gemeay, Ahmed M.
AU - Almetwally, Ehab M.
AU - Karakaya, Kadir
AU - Makumi, Nicholas
AU - Hussam, Eslam
AU - Aldallal, Ramy
N1 - Publisher Copyright:
Copyright: © 2023 Almuqrin et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2023/1
Y1 - 2023/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85145428356&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0278659
DO - 10.1371/journal.pone.0278659
M3 - Article
C2 - 36595502
AN - SCOPUS:85145428356
SN - 1932-6203
VL - 18
JO - PLoS ONE
JF - PLoS ONE
IS - 1 January
M1 - e0278659
ER -
