Zobrazeno 1 - 10
of 155
pro vyhledávání: '"M Masoom Ali"'
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:
Yusra Tashkandy, Walid Emam, Gauss M. Cordeiro, M. Masoom Ali, Khaoula Aidi, Haitham M. Yousof, Mohamed Ibrahim
Publikováno v:
Journal of Mathematics, Vol 2023 (2023)
This paper introduces and studies a unique probability distribution. The maximum likelihood estimation, the ordinary least squares, the weighted least squares, and the Anderson–Darling estimation methods all take into account a number of financial
Externí odkaz:
https://doaj.org/article/9cdce1073de649f481ba713103af7ddd
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
Publikováno v:
Mathematics, Vol 11, Iss 9, p 2184 (2023)
Quality control testing under acceptance sampling plans involves inspecting a representative sample of products or materials from a larger lot or batch to determine whether the lot meets predetermined quality standards. In this research, the modified
Externí odkaz:
https://doaj.org/article/2e82daf80c4b4e159d1a65e585fb37f3
Autor:
Haitham M. Yousof, S. I. Ansari, Yusra Tashkandy, Walid Emam, M. Masoom Ali, Mohamed Ibrahim, Salwa L. Alkhayyat
Publikováno v:
Mathematics, Vol 11, Iss 9, p 2179 (2023)
Actuarial risks can be analyzed using heavy-tailed distributions, which provide adequate risk assessment. Key risk indicators, such as value-at-risk, tailed-value-at-risk (conditional tail expectation), tailed-variance, tailed-mean-variance, and mean
Externí odkaz:
https://doaj.org/article/67f0f217f2914144813e211c65eb4061
Publikováno v:
Mathematics, Vol 11, Iss 7, p 1593 (2023)
Continuous probability distributions can handle and express different data within the modeling process. Continuous probability distributions can be used in the disclosure and evaluation of risks through a set of well-known basic risk indicators. In t
Externí odkaz:
https://doaj.org/article/c253fa7af5b34b2b84f437e433a130cb
Publikováno v:
Mathematics, Vol 11, Iss 6, p 1284 (2023)
A novel flexible extension of the Chen distribution is defined and studied in this paper. Relevant statistical properties of the novel model are derived. For the actuarial risk analysis and evaluation, the maximum likelihood, weighted least squares,
Externí odkaz:
https://doaj.org/article/5d434f068c1145b9a97fb16d47a052cd
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:
Mathematics, Vol 11, Iss 4, p 966 (2023)
Probability-based distributions might be able to explain risk exposure well. Usually, one number, or at the very least, a limited number of numbers called the key risk indicators (KRIs), are used to describe the level of risk exposure. These risk exp
Externí odkaz:
https://doaj.org/article/603d83c591a64dc8b30547fbe4d4dbb0