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The Rayleigh Gompertz distribution: Theory and real applications | ||
| International Journal of Nonlinear Analysis and Applications | ||
| دوره 13، شماره 1، خرداد 2022، صفحه 3505-3516 اصل مقاله (538.72 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2022.6132 | ||
| نویسندگان | ||
| Nadia Hashim Al-Noor* 1؛ Mundher A. Khaleel2؛ Noor Kareem Assi1 | ||
| 1Mathematics Department, College of Science, Mustansiriyah University, Baghdad, Iraq | ||
| 2Mathematics Department, College of Computer Science and Mathematics, Tikrit University, Tikrit, Iraq | ||
| تاریخ دریافت: 21 اسفند 1399، تاریخ بازنگری: 22 اردیبهشت 1400، تاریخ پذیرش: 08 تیر 1400 | ||
| چکیده | ||
| The generalization of distributions is an important topic in probability theory. Several distributions, whether symmetrical, semi-symmetrical or heavily skewed, are unsuitable for modelling modern data. In this paper, the Rayleigh Gompertz distribution as a new compound flexible distribution is introduced. Several important statistical properties of the new distribution have been examined and studied as well as its flexibility is proved through various real datasets with different information fitting criteria. The flexibility of this new distribution allows using it in various application areas. | ||
| کلیدواژهها | ||
| The Rayleigh Gompertz Distribution؛ exponential distribution؛ reliability function and hazard function | ||
| مراجع | ||
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