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...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2023-01-01
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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. |
first_indexed | 2024-04-09T23:42:13Z |
format | Article |
id | doaj.art-feccf141b768428eb177ff115665155d |
institution | Directory Open Access Journal |
issn | 1932-6203 |
language | English |
last_indexed | 2024-04-09T23:42:13Z |
publishDate | 2023-01-01 |
publisher | Public Library of Science (PLoS) |
record_format | Article |
series | PLoS ONE |
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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