Zobrazeno 1 - 10
of 156
pro vyhledávání: '"G. G Hamedani"'
Autor:
Mahdi Rasekhi, Mohammad Mehdi Saber, G. G Hamedani, M. M.Abd El-Raouf, Ramy Aldallal, Ahmed M. Gemeay
Publikováno v:
Journal of Mathematics, Vol 2022 (2022)
Generalized Gudermannian distribution is a symmetric distribution with location and scale parameters as an alternative to the well-known symmetric distributions such as normal, Laplace, and Cauchy. This distribution has a simple closed form for the p
Externí odkaz:
https://doaj.org/article/22c485aa329548f6aff35ddcb60969a0
Autor:
Basma Ahmed, G. G. Hamedani, Getachew Tekle Mekiso, Yusra A. Tashkandy, M. E. Bakr, Eslam Hussam, Haitham M. Yousof
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-30 (2024)
Abstract This paper introduces a novel approach to life-testing using Extended Dagum (EXD) percentiles within the framework of group inspection plans. The methodology focuses on optimizing sample sizes and analyzing termination time ratios to enhance
Externí odkaz:
https://doaj.org/article/2c68ce7b6fa14410b2593e53aeda3276
Publikováno v:
Austrian Journal of Statistics, Vol 45, Iss 3 (2016)
We introduce and study general mathematical properties of a new generator of continuous distributions with two extra parameters called the Generalized transmuted family of distributions. We present some special models. We investigate the asymptotes a
Externí odkaz:
https://doaj.org/article/c9f6ff239d704c30b2f2a41f910484d8
Autor:
G. G. Hamedani
As mentioned in previous monographs (I, II, and III), in designing a stochastic model for a particular modeling problem, an investigator will be vitally interested to know if their model fits the requirements of a specific underlying probability dist
Publikováno v:
Journal of Taibah University for Science, Vol 14, Iss 1, Pp 359-382 (2020)
Heavy-tailed distributions play an important role in modelling data in actuarial and financial sciences. In this article, nine new methods are suggested to define new distributions suitable for modelling data with an heavy right tail. For illustrativ
Externí odkaz:
https://doaj.org/article/c50c59c9176048acae5a250adedd3463
Publikováno v:
Journal of Statistical Theory and Applications (JSTA), Vol 19, Iss 1 (2020)
We introduce a new flexible class of continuous distributions via the Hjorth's IDB model. We provide some mathematical properties of the new family. Characterizations based on two truncated moments, conditional expectation as well as in terms of the
Externí odkaz:
https://doaj.org/article/77ce03aa21f140e0ba06870eefa914b5
Publikováno v:
Journal of Statistical Theory and Applications (JSTA), Vol 18, Iss 4 (2019)
In the present paper, a new family of lifetime distributions is introduced via odd ratio function, the well-known concept in survival analysis and reliability engineering. Some important properties of the proposed model including survival function, q
Externí odkaz:
https://doaj.org/article/ea423795617f4497b6bbffd5bae9216d
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
Publikováno v:
STUDIA SCIENTIARUM MATHEMATICARUM HUNGARICA
This study proposes a new family of continuous distributions, called the Gudermannian generated family of distributions, based on the Gudermannian function. The statistical properties, including moments, incomplete moments and generating functions, a
Autor:
Rashad A. R. Bantan, Zubair Ahmad, Faridoon Khan, Mohammed Elgarhy, Zahra Almaspoor, G. G. Hamedani, Mahmoud El-Morshedy, Ahmed M. Gemeay
Publikováno v:
Mathematical Biosciences and Engineering. 20:2847-2873
Statistical modeling and forecasting of time-to-events data are crucial in every applied sector. For the modeling and forecasting of such data sets, several statistical methods have been introduced and implemented. This paper has two aims, i.e., (i)