Weighted power Maxwell distribution: Statistical inference and COVID-19 applications.

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 th...

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Main Authors: Muqrin A Almuqrin, Salemah A Almutlak, Ahmed M Gemeay, Ehab M Almetwally, Kadir Karakaya, Nicholas Makumi, Eslam Hussam, Ramy Aldallal
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0278659
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author Muqrin A Almuqrin
Salemah A Almutlak
Ahmed M Gemeay
Ehab M Almetwally
Kadir Karakaya
Nicholas Makumi
Eslam Hussam
Ramy Aldallal
author_facet Muqrin A Almuqrin
Salemah A Almutlak
Ahmed M Gemeay
Ehab M Almetwally
Kadir Karakaya
Nicholas Makumi
Eslam Hussam
Ramy Aldallal
author_sort Muqrin A Almuqrin
collection DOAJ
description 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.
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spelling doaj.art-feccf141b768428eb177ff115665155d2023-03-18T05:32:30ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01181e027865910.1371/journal.pone.0278659Weighted power Maxwell distribution: Statistical inference and COVID-19 applications.Muqrin A AlmuqrinSalemah A AlmutlakAhmed M GemeayEhab M AlmetwallyKadir KarakayaNicholas MakumiEslam HussamRamy AldallalDuring 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.https://doi.org/10.1371/journal.pone.0278659
spellingShingle Muqrin A Almuqrin
Salemah A Almutlak
Ahmed M Gemeay
Ehab M Almetwally
Kadir Karakaya
Nicholas Makumi
Eslam Hussam
Ramy Aldallal
Weighted power Maxwell distribution: Statistical inference and COVID-19 applications.
PLoS ONE
title Weighted power Maxwell distribution: Statistical inference and COVID-19 applications.
title_full Weighted power Maxwell distribution: Statistical inference and COVID-19 applications.
title_fullStr Weighted power Maxwell distribution: Statistical inference and COVID-19 applications.
title_full_unstemmed Weighted power Maxwell distribution: Statistical inference and COVID-19 applications.
title_short Weighted power Maxwell distribution: Statistical inference and COVID-19 applications.
title_sort weighted power maxwell distribution statistical inference and covid 19 applications
url https://doi.org/10.1371/journal.pone.0278659
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