| Autor: |
Ahmed M Gemeay, Zeghdoudi Halim, M M Abd El-Raouf, Eslam Hussam, Alanazi Talal Abdulrahman, Nour Khaled Mashaqbah, Nawaf Alshammari, Nicholas Makumi |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
PLoS ONE, Vol 18, Iss 2, p e0281474 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
1932-6203 |
| DOI: |
10.1371/journal.pone.0281474 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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