The New Novel Discrete Distribution with Application on COVID-19 Mortality Numbers in Kingdom of Saudi Arabia and Latvia
This paper aims to introduce a superior discrete statistical model for the coronavirus disease 2019 (COVID-19) mortality numbers in Saudi Arabia and Latvia. We introduced an optimal and superior statistical model to provide optimal modeling for the death numbers due to the COVID-19 infections. This...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/7192833 |
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| author | M. Nagy Ehab M. Almetwally Ahmed M. Gemeay Heba S. Mohammed Taghreed M. Jawa Neveen Sayed-Ahmed Abdisalam Hassan Muse |
| author_facet | M. Nagy Ehab M. Almetwally Ahmed M. Gemeay Heba S. Mohammed Taghreed M. Jawa Neveen Sayed-Ahmed Abdisalam Hassan Muse |
| author_sort | M. Nagy |
| collection | DOAJ |
| description | This paper aims to introduce a superior discrete statistical model for the coronavirus disease 2019 (COVID-19) mortality numbers in Saudi Arabia and Latvia. We introduced an optimal and superior statistical model to provide optimal modeling for the death numbers due to the COVID-19 infections. This new statistical model possesses three parameters. This model is formulated by combining both the exponential distribution and extended odd Weibull family to formulate the discrete extended odd Weibull exponential (DEOWE) distribution. We introduced some of statistical properties for the new distribution, such as linear representation and quantile function. The maximum likelihood estimation (MLE) method is applied to estimate the unknown parameters of the DEOWE distribution. Also, we have used three datasets as an application on the COVID-19 mortality data in Saudi Arabia and Latvia. These three real data examples were used for introducing the importance of our distribution for fitting and modeling this kind of discrete data. Also, we provide a graphical plot for the data to ensure our results. |
| format | Article |
| id | doaj-art-fb19b9dc0fa242bfbec87b90ad3db90f |
| institution | Kabale University |
| issn | 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-fb19b9dc0fa242bfbec87b90ad3db90f2025-02-03T05:59:59ZengWileyComplexity1099-05262021-01-01202110.1155/2021/7192833The New Novel Discrete Distribution with Application on COVID-19 Mortality Numbers in Kingdom of Saudi Arabia and LatviaM. Nagy0Ehab M. Almetwally1Ahmed M. Gemeay2Heba S. Mohammed3Taghreed M. Jawa4Neveen Sayed-Ahmed5Abdisalam Hassan Muse6Department of MathematicsFaculty of Business AdministrationDepartment of MathematicsMathematical Sciences DepartmentDepartment of MathematicsDepartment of MathematicsDepartment of Mathematics (Statistics Option) ProgramThis paper aims to introduce a superior discrete statistical model for the coronavirus disease 2019 (COVID-19) mortality numbers in Saudi Arabia and Latvia. We introduced an optimal and superior statistical model to provide optimal modeling for the death numbers due to the COVID-19 infections. This new statistical model possesses three parameters. This model is formulated by combining both the exponential distribution and extended odd Weibull family to formulate the discrete extended odd Weibull exponential (DEOWE) distribution. We introduced some of statistical properties for the new distribution, such as linear representation and quantile function. The maximum likelihood estimation (MLE) method is applied to estimate the unknown parameters of the DEOWE distribution. Also, we have used three datasets as an application on the COVID-19 mortality data in Saudi Arabia and Latvia. These three real data examples were used for introducing the importance of our distribution for fitting and modeling this kind of discrete data. Also, we provide a graphical plot for the data to ensure our results.http://dx.doi.org/10.1155/2021/7192833 |
| spellingShingle | M. Nagy Ehab M. Almetwally Ahmed M. Gemeay Heba S. Mohammed Taghreed M. Jawa Neveen Sayed-Ahmed Abdisalam Hassan Muse The New Novel Discrete Distribution with Application on COVID-19 Mortality Numbers in Kingdom of Saudi Arabia and Latvia Complexity |
| title | The New Novel Discrete Distribution with Application on COVID-19 Mortality Numbers in Kingdom of Saudi Arabia and Latvia |
| title_full | The New Novel Discrete Distribution with Application on COVID-19 Mortality Numbers in Kingdom of Saudi Arabia and Latvia |
| title_fullStr | The New Novel Discrete Distribution with Application on COVID-19 Mortality Numbers in Kingdom of Saudi Arabia and Latvia |
| title_full_unstemmed | The New Novel Discrete Distribution with Application on COVID-19 Mortality Numbers in Kingdom of Saudi Arabia and Latvia |
| title_short | The New Novel Discrete Distribution with Application on COVID-19 Mortality Numbers in Kingdom of Saudi Arabia and Latvia |
| title_sort | new novel discrete distribution with application on covid 19 mortality numbers in kingdom of saudi arabia and latvia |
| url | http://dx.doi.org/10.1155/2021/7192833 |
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