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General two-parameter distribution: Statistical properties, estimation, and application on COVID-19
In this paper, we introduced a novel general two-parameter statistical distribution which can be presented as a mix of both exponential and gamma distributions. Some statistical properties of the general model were derived mathematically. Many estimation methods studied the estimation of the propose...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9907847/ https://www.ncbi.nlm.nih.gov/pubmed/36753497 http://dx.doi.org/10.1371/journal.pone.0281474 |
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author | Gemeay, Ahmed M. Halim, Zeghdoudi Abd El-Raouf, M. M. Hussam, Eslam Abdulrahman, Alanazi Talal Mashaqbah, Nour Khaled Alshammari, Nawaf Makumi, Nicholas |
author_facet | Gemeay, Ahmed M. Halim, Zeghdoudi Abd El-Raouf, M. M. Hussam, Eslam Abdulrahman, Alanazi Talal Mashaqbah, Nour Khaled Alshammari, Nawaf Makumi, Nicholas |
author_sort | Gemeay, Ahmed M. |
collection | PubMed |
description | In this paper, we introduced a novel general two-parameter statistical distribution which can be presented as a mix of both exponential and gamma distributions. Some statistical properties of the general model were derived mathematically. Many estimation methods studied the estimation of the proposed model parameters. A new statistical model was presented as a particular case of the general two-parameter model, which is used to study the performance of the different estimation methods with the randomly generated data sets. Finally, the COVID-19 data set was used to show the superiority of the particular case for fitting real-world data sets over other compared well-known models. |
format | Online Article Text |
id | pubmed-9907847 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-99078472023-02-08 General two-parameter distribution: Statistical properties, estimation, and application on COVID-19 Gemeay, Ahmed M. Halim, Zeghdoudi Abd El-Raouf, M. M. Hussam, Eslam Abdulrahman, Alanazi Talal Mashaqbah, Nour Khaled Alshammari, Nawaf Makumi, Nicholas PLoS One Research Article In this paper, we introduced a novel general two-parameter statistical distribution which can be presented as a mix of both exponential and gamma distributions. Some statistical properties of the general model were derived mathematically. Many estimation methods studied the estimation of the proposed model parameters. A new statistical model was presented as a particular case of the general two-parameter model, which is used to study the performance of the different estimation methods with the randomly generated data sets. Finally, the COVID-19 data set was used to show the superiority of the particular case for fitting real-world data sets over other compared well-known models. Public Library of Science 2023-02-08 /pmc/articles/PMC9907847/ /pubmed/36753497 http://dx.doi.org/10.1371/journal.pone.0281474 Text en © 2023 Gemeay 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 Gemeay, Ahmed M. Halim, Zeghdoudi Abd El-Raouf, M. M. Hussam, Eslam Abdulrahman, Alanazi Talal Mashaqbah, Nour Khaled Alshammari, Nawaf Makumi, Nicholas General two-parameter distribution: Statistical properties, estimation, and application on COVID-19 |
title | General two-parameter distribution: Statistical properties, estimation, and application on COVID-19 |
title_full | General two-parameter distribution: Statistical properties, estimation, and application on COVID-19 |
title_fullStr | General two-parameter distribution: Statistical properties, estimation, and application on COVID-19 |
title_full_unstemmed | General two-parameter distribution: Statistical properties, estimation, and application on COVID-19 |
title_short | General two-parameter distribution: Statistical properties, estimation, and application on COVID-19 |
title_sort | general two-parameter distribution: statistical properties, estimation, and application on covid-19 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9907847/ https://www.ncbi.nlm.nih.gov/pubmed/36753497 http://dx.doi.org/10.1371/journal.pone.0281474 |
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