| Autor: |
Aijaz Ahmad, Fatimah M. Alghamdi, Afaq Ahmad, Olayan Albalawi, Abdullah A. Zaagan, Mohammed Zakarya, Ehab M. Almetwally, Getachew Tekle Mekiso |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
Alexandria Engineering Journal, Vol 100, Iss , Pp 42-52 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
1110-0168 |
| DOI: |
10.1016/j.aej.2024.05.021 |
| Popis: |
Since standard distributions do not fundamentally have an acceptable fit to all types of data sets, it is necessary to construct extensions of standard distributions to increase their capability in data modeling. As a result of this shortage in old ones, we proposed a novel generator based on the trigonometric function (Arctan). We selected the Frechet distribution as the baseline for the generator’s applicability. This generator produces the “new Arctan Frechet distribution” (NATFD). The fundamental properties of the proposed distribution have been taken into consideration. Estimating the given distribution’s parameters is accomplished using the maximum-likelihood method. A simulation study is carried out to evaluate the superiority of the proposed distribution, and two actual data sets are used. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
