Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Arwa M. Alsahangiti"'
Publikováno v:
Alexandria Engineering Journal, Vol 81, Iss , Pp 560-579 (2023)
This paper proposes a new probabilistic method using the tangent function, namely, a new tangent-F family of distributions. It improves the data-fitting ability of its special members by adding a parameter. Some properties of the new tangent-F approa
Externí odkaz:
https://doaj.org/article/676416d1e84d4db5b480cf270073390a
Publikováno v:
Alexandria Engineering Journal, Vol 80, Iss , Pp 572-583 (2023)
Statistical modeling and forecasting are very important for decision-making in any field of life. This paper has two major objectives, namely, statistical modeling and forecasting of real phenomena. For covering the first aim (i.e., statistical model
Externí odkaz:
https://doaj.org/article/1ecdf4075a484e36a38ecdc344366acc
Autor:
Laxmi Prasad Sapkota, Arwa M. Alsahangiti, Vijay Kumar, Ahmed M. Gemeay, M. E. Bakr, Oluwafemi Samson Balogun, Abdisalam Hassan Muse
Publikováno v:
IEEE Access, Vol 11, Pp 115462-115476 (2023)
This paper introduces the Arctan exponential distribution, a novel two-parameter trigonometric distribution. Various statistical properties of the distribution are examined, including hazard rate functions, cumulative hazard rate functions, mean devi
Externí odkaz:
https://doaj.org/article/a0f3c0070419460a95e929b6fa189add
Publikováno v:
Mathematics, Vol 11, Iss 5, p 1203 (2023)
The efficiency with which an integer may be factored into its prime factors determines several public key cryptosystems’ security in use today. Although there is a quantum-based technique with a polynomial time for integer factoring, on a tradition
Externí odkaz:
https://doaj.org/article/4f586172a2e1494a9ff761f511b6872c
Autor:
Arwa M. Alsahangiti, Ahmed M. Gemeay, Laxmi Prasad Sapkota, Mahmoud E. Bakr, SidAhmed Benchiha, Oluwafemi Samson Balogun, Eslam Hossam, Mustafa S. Shama
Employing the inverse power transformation technique, we have proposed a new continuous three-parameter probability distribution and named it inverse power generalized Maxwell distribution. This distribution is the generalized version of the generali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44aa20f7e6ab55b82345c550e6d1630b
https://doi.org/10.21203/rs.3.rs-2874652/v1
https://doi.org/10.21203/rs.3.rs-2874652/v1
