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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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Autores principales: Almuqrin, Muqrin A., Almutlak, Salemah A., Gemeay, Ahmed M., Almetwally, Ehab M., Karakaya, Kadir, Makumi, Nicholas, Hussam, Eslam, Aldallal, Ramy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810183/
https://www.ncbi.nlm.nih.gov/pubmed/36595502
http://dx.doi.org/10.1371/journal.pone.0278659
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author Almuqrin, Muqrin A.
Almutlak, Salemah A.
Gemeay, Ahmed M.
Almetwally, Ehab M.
Karakaya, Kadir
Makumi, Nicholas
Hussam, Eslam
Aldallal, Ramy
author_facet Almuqrin, Muqrin A.
Almutlak, Salemah A.
Gemeay, Ahmed M.
Almetwally, Ehab M.
Karakaya, Kadir
Makumi, Nicholas
Hussam, Eslam
Aldallal, Ramy
author_sort Almuqrin, Muqrin A.
collection PubMed
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 pubmed-98101832023-01-04 Weighted power Maxwell distribution: Statistical inference and COVID-19 applications Almuqrin, Muqrin A. Almutlak, Salemah A. Gemeay, Ahmed M. Almetwally, Ehab M. Karakaya, Kadir Makumi, Nicholas Hussam, Eslam Aldallal, Ramy PLoS One Research Article 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. Public Library of Science 2023-01-03 /pmc/articles/PMC9810183/ /pubmed/36595502 http://dx.doi.org/10.1371/journal.pone.0278659 Text en © 2023 Almuqrin et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Almuqrin, Muqrin A.
Almutlak, Salemah A.
Gemeay, Ahmed M.
Almetwally, Ehab M.
Karakaya, Kadir
Makumi, Nicholas
Hussam, Eslam
Aldallal, Ramy
Weighted power Maxwell distribution: Statistical inference and COVID-19 applications
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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810183/
https://www.ncbi.nlm.nih.gov/pubmed/36595502
http://dx.doi.org/10.1371/journal.pone.0278659
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