Zobrazeno 1 - 10
of 67
pro vyhledávání: '"SULEMAN NASIRU"'
Autor:
Manahil SidAhmed Mustafa, Sohaib Ahmad, Hassan M. Aljohani, Fatimah M. Alghamdi, Ramy Aldallal, Mohammed Elgarhy, Sanaa Mohammed Almarzouki, Suleman Nasiru
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract The primary purpose of this article is to examine the issue of estimating the finite population distribution function from auxiliary information, such as population mean and rank of the auxiliary variables, that are already known. In order t
Externí odkaz:
https://doaj.org/article/963a961fdb654b6f9035077c8e2755ff
Publikováno v:
Analytics, Vol 2, Iss 2, Pp 438-462 (2023)
The use of distributions to model and quantify risk is essential in risk assessment and management. In this study, the generalized unit half-logistic geometric (GUHLG) distribution is developed to model bounded insurance data on the unit interval. Th
Externí odkaz:
https://doaj.org/article/0e7feb2820cc46fb9806d899c088fa17
Publikováno v:
International Journal of Mathematics and Mathematical Sciences, Vol 2024 (2024)
In this article, a one-parameter probability mass function called Poisson XRani is proposed by combining the Poisson and the XRani distributions. A wide range of distributional properties such as the shape of the probability mass function, probabilit
Externí odkaz:
https://doaj.org/article/71428615a6a844c3958eb7ff3608bc54
Autor:
Revathy Aruchsamy, Inthumathi Velusamy, Prasantha Bharathi Dhandapani, Suleman Nasiru, Christophe Chesneau
Publikováno v:
Journal of Mathematics, Vol 2024 (2024)
The circular Fermatean fuzzy (CFF) set is an advancement of the Fermatean fuzzy (FF) set and the interval-valued Fermatean fuzzy (IVFF) set which deals with uncertainty. The CFF set is represented as a circle of radius ranging from 0 to 2 with the ce
Externí odkaz:
https://doaj.org/article/8e50c66598604127a23c2a9194d7f3a0
Publikováno v:
International Journal of Mathematics and Mathematical Sciences, Vol 2024 (2024)
In this study, a three-parameter modification of the Burr XII distribution has been developed through the integration of the weighted version of the alpha power transformation family of distributions. This newly introduced model, termed the modified
Externí odkaz:
https://doaj.org/article/31d4b7c066734455ba0492e097384d2b
Autor:
Salifu Nanga, Shei Baba Sayibu, Irene Dekomwine Angbing, Mubarika Alhassan, Abdul-Majeed Benson, Abdul Ghaniyyu Abubakari, Suleman Nasiru
Publikováno v:
Computational and Mathematical Methods, Vol 2024 (2024)
In this study, Secant Kumaraswamy family of distributions is proposed and studied. This is motivated by the fact that no one distribution can model all types of data from different fields. Therefore, there is the need to develop distributions with de
Externí odkaz:
https://doaj.org/article/d77024a139dd41a0bb40ea96a69f1ddf
Autor:
Sanaa Al-Marzouki, Afaf Alrashidi, Christophe Chesneau, Mohammed Elgarhy, Rana H. Khashab, Suleman Nasiru
Publikováno v:
AIP Advances, Vol 13, Iss 11, Pp 115209-115209-16 (2023)
Statistical modeling and forecasting are crucial to understanding the depth of information in data from all sources. For precision purposes, researchers are always in search of ways to improve the quality of modeling and forecasting, whatever the com
Externí odkaz:
https://doaj.org/article/fde4c6df61874acaa7472a3a60bd38fa
Publikováno v:
Scientific African, Vol 17, Iss , Pp e01363- (2022)
We introduce the tangent Topp-Leone family of distributions in this study and derive some of its statistical properties. Further, we develop five special distributions and a location-scale regression model based on the new proposed tangent Topp-Leone
Externí odkaz:
https://doaj.org/article/f5258e5557b24d34a79b0a0724b095c0
Autor:
Suleman Nasiru, Christophe Chesneau
Publikováno v:
Axioms, Vol 12, Iss 4, p 350 (2023)
The choice of an appropriate regression model for econometric modeling minimizes information loss and also leads to sound inferences. In this study, we develop four quantile regression models based on trigonometric extensions of the unit generalized
Externí odkaz:
https://doaj.org/article/b96f28ebdb37472b89e6aa2fd5fa33ff
Publikováno v:
Mathematical and Computational Applications, Vol 28, Iss 1, p 25 (2023)
The usefulness of (probability) distributions in the field of biomedical science cannot be underestimated. Hence, several distributions have been used in this field to perform statistical analyses and make inferences. In this study, we develop the ar
Externí odkaz:
https://doaj.org/article/bb30675128d346f5a46d9638f1f8677f