Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Hafida Goual"'
Autor:
Hamami Loubna, Hafida Goual, Fatimah M. Alghamdi, Manahil SidAhmed Mustafa, Getachew Tekle Mekiso, M. Masoom Ali, Abdullah H. Al-Nefaie, Hassan Alsuhabi, Mohamed Ibrahim, Haitham M. Yousof
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract Frailty models are important for survival data because they allow for the possibility of unobserved heterogeneity problem. The problem of heterogeneity can be existed due to a variety of factors, such as genetic predisposition, environmental
Externí odkaz:
https://doaj.org/article/d566f7968369470799f6c9c90a8505e2
Autor:
Moustafa Salem, Walid Emam, Yusra Tashkandy, Mohamed Ibrahim, M. Masoom Ali, Hafida Goual, Haitham M. Yousof
Publikováno v:
Symmetry, Vol 15, Iss 7, p 1356 (2023)
The idea of symmetry, which is used to describe the shape of a probability distribution, is a key concept in the theory of probability. The use of symmetric and asymmetric distributions is common in statistical inference, decision-making, and probabi
Externí odkaz:
https://doaj.org/article/40423d4a424d4f649c162465463a9a07
Autor:
G. G. Hamedani, Hafida Goual, Walid Emam, Yusra Tashkandy, Fiaz Ahmad Bhatti, Mohamed Ibrahim, Haitham M. Yousof
Publikováno v:
Symmetry, Vol 15, Iss 7, p 1297 (2023)
Skewed probability distributions are important when modeling skewed data sets because they provide a way to describe the shape of the distribution and estimate the likelihood of extreme events. Asymmetric probability distributions have the potential
Externí odkaz:
https://doaj.org/article/0de86e1bd4f4471ab75a8eae758ba1ba
Autor:
Haitham M. Yousof, Hafida Goual, Walid Emam, Yusra Tashkandy, Morad Alizadeh, M. Masoom Ali, Mohamed Ibrahim
Publikováno v:
Mathematics, Vol 11, Iss 6, p 1308 (2023)
We provide a new extension of the exponential distribution with an emphasis on the practical elements of the model. Six different classical estimation methods were applied and compared. The main test was evaluated on complete data using four sets of
Externí odkaz:
https://doaj.org/article/c32e09efd0df4ed9bd805d51490c79f1
Autor:
Walid Emam, Yusra Tashkandy, Hafida Goual, Talhi Hamida, Aiachi Hiba, M. Masoom Ali, Haitham M. Yousof, Mohamed Ibrahim
Publikováno v:
Mathematics, Vol 11, Iss 4, p 897 (2023)
We propose a new extension of the exponential distribution for right censored Bayesian and non-Bayesian distributional validation. The parameter of the new distribution is estimated using several conventional methods, including the Bayesian method. T
Externí odkaz:
https://doaj.org/article/0b75cb1e95fe4be4a248bbcf8563348e
Publikováno v:
Complexity, Vol 2020 (2020)
In this paper, we propose a family of heavy tailed distributions, by incorporating a trigonometric function called the arcsine exponentiated-X family of distributions. Based on the proposed approach, a three-parameter extension of the Weibull distrib
Externí odkaz:
https://doaj.org/article/8fc45f8800e34a4188f608724055b484
Autor:
Abhimanyu Singh Yadav, Hafida Goual, Refah Mohammed Alotaibi, Rezk H, M. Masoom Ali, Haitham M. Yousof
Publikováno v:
Symmetry, Vol 12, Iss 1, p 57 (2019)
In this paper, we introduce a new univariate version of the Lomax model as well as a simple type copula-based construction via Morgenstern family and via Clayton copula for introducing a new bivariate and a multivariate type extension of the new mode
Externí odkaz:
https://doaj.org/article/faf4c8baef164596895d57a99a4407b9
Publikováno v:
Pakistan Journal of Statistics and Operation Research. :901-927
After studying the mathematical properties of the Double Burr XII model, we present Bayesian and non-Bayesian estimation for its unknown parameters. Also, we constructed a new statistical test for goodness-of-fit in case of complete and censored samp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::598fae3a0a8c2cb6e5ab5400746346c9
https://doi.org/10.18187/pjsor.v18i4.3600
https://doi.org/10.18187/pjsor.v18i4.3600
Autor:
Yousof, Moustafa Salem, Walid Emam, Yusra Tashkandy, Mohamed Ibrahim, M. Masoom Ali, Hafida Goual, Haitham M.
Publikováno v:
Symmetry; Volume 15; Issue 7; Pages: 1356
The idea of symmetry, which is used to describe the shape of a probability distribution, is a key concept in the theory of probability. The use of symmetric and asymmetric distributions is common in statistical inference, decision-making, and probabi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::7a126614cc24acd8603e0ebf58002b89
Autor:
Yousof, G. G. Hamedani, Hafida Goual, Walid Emam, Yusra Tashkandy, Fiaz Ahmad Bhatti, Mohamed Ibrahim, Haitham M.
Publikováno v:
Symmetry; Volume 15; Issue 7; Pages: 1297
Skewed probability distributions are important when modeling skewed data sets because they provide a way to describe the shape of the distribution and estimate the likelihood of extreme events. Asymmetric probability distributions have the potential
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::3ea0c98337af432f82407dd76fb01b4f