Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Abdullah A. Zaagan"'
Autor:
Abdullah A. Zaagan, Ali M. Mahnashi
Publikováno v:
Alexandria Engineering Journal, Vol 104, Iss , Pp 701-709 (2024)
In this study, a new two-parameter discrete distribution is introduced by mixing Poisson and Quasi-Shanker distributions. The new model is named Poisson Quasi-Shanker-(PQS) distribution. Some important mathematical properties of the proposed distribu
Externí odkaz:
https://doaj.org/article/178c1fdeac4842b7a14873e657021141
Autor:
Aijaz Ahmad, Fatimah M. Alghamdi, Afaq Ahmad, Olayan Albalawi, Abdullah A. Zaagan, Mohammed Zakarya, Ehab M. Almetwally, Getachew Tekle Mekiso
Publikováno v:
Alexandria Engineering Journal, Vol 100, Iss , Pp 42-52 (2024)
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 o
Externí odkaz:
https://doaj.org/article/fce28071ea5b47be9a4ff79942bda9ee
Publikováno v:
AIMS Mathematics, Vol 9, Iss 8, Pp 21786-21798 (2024)
For any positive integer $ \mathrm{n} $, let $ \mathrm{M_{p}} $ contain the prime numbers less than $ \mathrm{n} $. Assuming $ \mathrm{M_{p}} $ as the set of moduli, we draw a graph with the vertex set $ \{1, 2, 3, \cdots, \mathrm{n}\} $, and an edge
Externí odkaz:
https://doaj.org/article/bb586ba112d94cbcba7084a793550ef3
Autor:
Mustafa Kamal, Masood Alam, M.A. Abd Elgawad, Sara Mohamed Ahmed Alsheikh, M.A. Abdelkawy, Hassan Alsuhabi, Ramy Aldallal, Abdullah A. Zaagan, Haitham M. Yousof, Atef F. Hashem
Publikováno v:
Alexandria Engineering Journal, Vol 99, Iss , Pp 257-270 (2024)
In recent years, the modeling of time-to-events has emerged as a highly promising and dynamic research area. This field has witnessed a surge of research studies dedicated to developing novel statistical methodologies aimed at effectively handling ti
Externí odkaz:
https://doaj.org/article/4ad5883d1b2c49cabe6612ab8170a429
Autor:
Masuda Akter, Nurunnahar, Mohammad Sharif Ullah, Mutum Zico Meetei, Abdullah A. Zaagan, Ali M. Mahnashi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-39 (2024)
Abstract This study uses imposed control techniques and vaccination game theory to study disease dynamics with transitory or diminishing immunity. Our model uses the ABC fractional-order derivative mechanism to show the effect of non-pharmaceutical i
Externí odkaz:
https://doaj.org/article/ade2319a0ef24d0c9033dcd8bbfa6bca
Autor:
Muath Awadalla, Aigul Taishiyeva, Ratbay Myrzakulov, Jihan Alahmadi, Abdullah A. Zaagan, Ahmet Bekir
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract In this paper we explore the new analytical soliton solutions of the truncated M-fractional nonlinear $$(1+1)$$ ( 1 + 1 ) -dimensional Akbota equation by applying the $$\exp _a$$ exp a function technique, Sardar sub-equation and generalized
Externí odkaz:
https://doaj.org/article/d2265680826b453c99760975871176af
Publikováno v:
AIMS Mathematics, Vol 9, Iss 6, Pp 16061-16092 (2024)
Fractional calculus and convex inequalities combine to form a comprehensive mathematical framework for understanding and analyzing a variety of problems. This note develops Hermite-Hadamard, Fejér, and Pachpatte type integral inequalities within pse
Externí odkaz:
https://doaj.org/article/269d065136384af1862c7556ac500e43
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract The study presents a new parameter free adaptive exponentially weighted moving average (AEWMA) control chart tailored for monitoring process dispersion, utilizing an adaptive approach for determining the smoothing constant. This chart is cra
Externí odkaz:
https://doaj.org/article/fac973c294c349e88b47203fe1d4a92e
Publikováno v:
AIMS Mathematics, Vol 9, Iss 6, Pp 14913-14931 (2024)
In this study, we investigate the fundamental properties of ($ 3+1 $)-$ D $ Fractional Klein-Gordon equation using the sophisticated techniques of Riccatti-Bornoulli sub-ODE approach with Backlund transformation. Using a more stringent criterion, our
Externí odkaz:
https://doaj.org/article/e632f528ca5e46bf99d563ad6a66f4b0
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract This article introduces an adaptive approach within the Bayesian Max-EWMA control chart framework. Various Bayesian loss functions were used to jointly monitor process deviations from the mean and variance of normally distributed processes.
Externí odkaz:
https://doaj.org/article/ff776769b56145ee967765d9f87ca67a