Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Ahmed M. Gemeay"'
Publikováno v:
Alexandria Engineering Journal, Vol 105, Iss , Pp 181-203 (2024)
This study introduces a novel family of probability distributions called the ”tangent exponential-G family,” which is derived using trigonometric transformations of the exponential distribution. The significance of this research lies in developin
Externí odkaz:
https://doaj.org/article/6fb54a9b40b2472b8bac2a03f97adf21
Autor:
Yusra A. Tashkandy, M. E. Bakr, Sid Ahmed Benchiha, Laxmi Prasad Sapkota, Oluwafemi Samson Balogun, Getachew Tekle Mekiso, Eslam Hussam, Ahmed M. Gemeay
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-26 (2024)
Abstract This research introduces a novel two-parameter distribution, the power-modified XLindley distribution, developed through the application of power transformation techniques to the existing modified XLindley distribution. This new distribution
Externí odkaz:
https://doaj.org/article/0981e437672843d68fab784b6ea9737b
Autor:
Laxmi Prasad Sapkota, Pankaj Kumar, Vijay Kumar, Yusra A. Tashkandy, M. E. Bakr, Oluwafemi Samson Balogun, Getachew Tekle Mekiso, Ahmed M. Gemeay
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract This paper investigates a novel category of probability distributions and a specific member within this category. We have formulated a new family of trigonometric distributions by utilizing the odds ratio derived from the distribution functi
Externí odkaz:
https://doaj.org/article/b831590cdc12444b8c29b9cb8daf8788
Autor:
Pankaj Kumar, Laxmi Prasad Sapkota, Vijay Kumar, Yusra A. Tashkandy, M.E. Bakr, Oluwafemi Samson Balogun, Ahmed M. Gemeay
Publikováno v:
Alexandria Engineering Journal, Vol 106, Iss , Pp 664-674 (2024)
This work investigates a new class of statistical models and presents a specific example from this class. We created a new family of distributions using trigonometric functions, known as the cosine pie-power odd-G family. The paper details the fundam
Externí odkaz:
https://doaj.org/article/cbe2ad2def154bfd9efb499398a07245
Autor:
Najwan Alsadat, Caner Taniş, Laxmi Prasad Sapkota, Rajitha C.S., Mahmoud Mohamed Bahloul, Ahmed M. Gemeay
Publikováno v:
Alexandria Engineering Journal, Vol 107, Iss , Pp 332-346 (2024)
We introduce a generalized version of a unit distribution called power unit exponential probability distribution (PUEPrD) using the power transformation of the unit exponential probability distribution. Some statistical properties of the proposed dis
Externí odkaz:
https://doaj.org/article/b82185c7b01c42a9a2f621a33e102194
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract The sample strategy employed in statistical parameter estimation issues has a major impact on the accuracy of the parameter estimates. Ranked set sampling (RSS) is a highly helpful technique for gathering data when it is difficult or impossi
Externí odkaz:
https://doaj.org/article/0746b79b924d4717b8c65227e934c8a1
Publikováno v:
AIMS Mathematics, Vol 9, Iss 8, Pp 20976-21024 (2024)
This paper introduced and investigated the power unit inverse Lindley distribution (PUILD), a novel two-parameter generalization of the famous unit inverse Lindley distribution. Among its notable functional properties, the corresponding probability d
Externí odkaz:
https://doaj.org/article/5a7b24eca096410eb86861f7ff467c24
Publikováno v:
Heliyon, Vol 10, Iss 19, Pp e38335- (2024)
This paper presents a new probability distribution called the DUS Lindley distribution, created by applying the DUS transformation to the traditional Lindley distribution. The study provides an in-depth analysis of the distribution's statistical prop
Externí odkaz:
https://doaj.org/article/04b1f927846b417d9a9c31deb37a3aca
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e36775- (2024)
This paper presents a novel two-parameter distribution derived from the Rayleigh distribution, thoroughly investigating its essential mathematical properties. We employ estimation techniques to determine the proposed distribution's estimated paramete
Externí odkaz:
https://doaj.org/article/cb5ac1e729a64b5da87f386292a2508e
Autor:
Ahmed M. Gemeay, Abdelali Ezzebsa, Halim Zeghdoudi, Caner Tanış, Yusra A. Tashkandy, M.E. Bakr, Anoop Kumar
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e36594- (2024)
This paper introduces the power new XLindley (PNXL) distribution, a novel two-parameter distribution derived using the power transformation method applied to the XLindley distribution. We thoroughly explore the structural properties of the PNXL distr
Externí odkaz:
https://doaj.org/article/6b72a3cec323459393350bf1f76ae346