The Exponentiated Exponential-Inverse Weibull Model: Theory and Application to COVID-19 Data in Saudi Arabia
The purpose of this study is to introduce a new T-X family lifetime distribution known as exponentiated exponential-inverse Weibull, and we refer to this distribution as EE-IW. The new model’s basic mathematical characteristics are studied. The maximum likelihood (ML) estimator (MLE) approach is use...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Journal of Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2022/8521026 |
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| _version_ | 1832564875566514176 |
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| author | Majdah Mohammed Badr Ghaida Sobahi |
| author_facet | Majdah Mohammed Badr Ghaida Sobahi |
| author_sort | Majdah Mohammed Badr |
| collection | DOAJ |
| description | The purpose of this study is to introduce a new T-X family lifetime distribution known as exponentiated exponential-inverse Weibull, and we refer to this distribution as EE-IW. The new model’s basic mathematical characteristics are studied. The maximum likelihood (ML) estimator (MLE) approach is used to estimate the parameters. A Monte Carlo simulation is done to examine the behavior of the estimators. Finally, a real-world dataset is utilized to show the utility of the proposed model in many industries and to compare it to well-known distributions. |
| format | Article |
| id | doaj-art-2f30b43c1b4445a6a7e5bc2943a2d06f |
| institution | Kabale University |
| issn | 2314-4785 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Mathematics |
| spelling | doaj-art-2f30b43c1b4445a6a7e5bc2943a2d06f2025-02-03T01:09:52ZengWileyJournal of Mathematics2314-47852022-01-01202210.1155/2022/8521026The Exponentiated Exponential-Inverse Weibull Model: Theory and Application to COVID-19 Data in Saudi ArabiaMajdah Mohammed Badr0Ghaida Sobahi1Statistics DepartmentDepartment of StatisticsThe purpose of this study is to introduce a new T-X family lifetime distribution known as exponentiated exponential-inverse Weibull, and we refer to this distribution as EE-IW. The new model’s basic mathematical characteristics are studied. The maximum likelihood (ML) estimator (MLE) approach is used to estimate the parameters. A Monte Carlo simulation is done to examine the behavior of the estimators. Finally, a real-world dataset is utilized to show the utility of the proposed model in many industries and to compare it to well-known distributions.http://dx.doi.org/10.1155/2022/8521026 |
| spellingShingle | Majdah Mohammed Badr Ghaida Sobahi The Exponentiated Exponential-Inverse Weibull Model: Theory and Application to COVID-19 Data in Saudi Arabia Journal of Mathematics |
| title | The Exponentiated Exponential-Inverse Weibull Model: Theory and Application to COVID-19 Data in Saudi Arabia |
| title_full | The Exponentiated Exponential-Inverse Weibull Model: Theory and Application to COVID-19 Data in Saudi Arabia |
| title_fullStr | The Exponentiated Exponential-Inverse Weibull Model: Theory and Application to COVID-19 Data in Saudi Arabia |
| title_full_unstemmed | The Exponentiated Exponential-Inverse Weibull Model: Theory and Application to COVID-19 Data in Saudi Arabia |
| title_short | The Exponentiated Exponential-Inverse Weibull Model: Theory and Application to COVID-19 Data in Saudi Arabia |
| title_sort | exponentiated exponential inverse weibull model theory and application to covid 19 data in saudi arabia |
| url | http://dx.doi.org/10.1155/2022/8521026 |
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