Zobrazeno 1 - 10
of 147
pro vyhledávání: '"G. G. Hamedani"'
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
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, Vol 20, Iss 2, Pp 2847-2873 (2023)
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)
Externí odkaz:
https://doaj.org/article/8699807febca4b88847b826f1ade5c7a
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
Publikováno v:
AIMS Mathematics, Vol 6, Iss 9, Pp 10222-10252 (2021)
In this paper, a three-parameter bounded unit distribution with a flexible hazard rate called the unit generalized log Burr XII (UGLBXII) distribution is derived. To show the importance of the proposed distribution, we establish some of its mathemati
Externí odkaz:
https://doaj.org/article/a5b863435c7342ffa7915fc0cdd92954
Publikováno v:
AIMS Mathematics, Vol 6, Iss 7, Pp 7070-7092 (2021)
We propose a new four-parameter lifetime model with flexible hazard rate called the Burr XII Power Cauchy (BXII-PC) distribution. We derive the BXII-PC distribution via (ⅰ) the T-X family technique and (ⅱ) nexus between the exponential and gamma
Externí odkaz:
https://doaj.org/article/58ba2eb196b041888f48f3fa206dc9cc
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
Publikováno v:
Journal of Statistical Theory and Applications (JSTA), Vol 17, Iss 3 (2018)
A new family of distributions called the exponential Lindley odd log-logistic G family is introduced and studied. The new generator generalizes three newly defined G families and also defines two new G families. We provide some mathematical propertie
Externí odkaz:
https://doaj.org/article/9e836f3a423e4720bcc5bcf7081052e0
Publikováno v:
Journal of Statistical Theory and Applications (JSTA), Vol 17, Iss 2 (2018)
Explicit expressions for the densities of S = X1 + X2 , D = X1 − X2 , P = X1X2 and R = X1/X2 are derived when X1 and X2 are independent or sub-independent Kumaraswamy random variables. The expressions appear to involve the incomplete gamma function
Externí odkaz:
https://doaj.org/article/3c2f03e2fc8a4b33b859cd5a9e49f0ca