Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Mohamed A. Abd Elgawad"'
Autor:
Atef F. Hashem, Naif Alotaibi, Salem A. Alyami, Mohamed A. Abdelkawy, Mohamed A. Abd Elgawad, Haitham M. Yousof, Alaa H. Abdel-Hamid
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-27 (2024)
Abstract This research investigates the application of the ordered ranked set sampling (ORSSA) procedure in constant-stress partially accelerated life-testing (CSPALTE). The study adopts the assumption that the lifespan of a specific item under opera
Externí odkaz:
https://doaj.org/article/0628b6bca32541708cefe6125bd2dbec
Autor:
Mohamed A. Abd Elgawad, Haroon M. Barakat, Metwally A. Alawady, Doaa A. Abd El-Rahman, Islam A. Husseiny, Atef F. Hashem, Naif Alotaibi
Publikováno v:
Mathematics, Vol 11, Iss 24, p 4934 (2023)
This study uses an effective, recently extended Farlie–Gumbel–Morgenstern (EFGM) family to derive the distribution of concomitants of K-record upper values (CKRV). For this CKRV, the negative cumulative residual extropy (NCREX), weighted NCREX (W
Externí odkaz:
https://doaj.org/article/aaa885d2e98d44528eb6a3d144799172
Autor:
Mohamed A. Abd Elgawad, Haroon M. Barakat, Islam A. Husseiny, Ghada M. Mansour, Salem A. Alyami, Ibrahim Elbatal, Metwally A. Alawady
Publikováno v:
Axioms, Vol 13, Iss 1, p 17 (2023)
In this paper, the Fisher information (FI), relevant to m-generalized order statistics (m-GOSs) and their concomitants of the shape-parameter of the Sarmanov family of bivariate distributions, is investigated. In addition, we study the concomitants o
Externí odkaz:
https://doaj.org/article/eca9b2170c914459a07b60dae4479f79
Publikováno v:
Mathematics, Vol 11, Iss 17, p 3747 (2023)
The Molodtsov-initiated soft set theory plays an important role as a powerful mathematical tool for handling uncertainty. As an extension of the soft set, the fuzzy soft set can be seen to be more generic and flexible than utilizing the soft set only
Externí odkaz:
https://doaj.org/article/43cf2d8e2c4c41dd861b4335be2e0e88
Publikováno v:
Symmetry, Vol 15, Iss 6, p 1257 (2023)
In this work, we reveal some distributional traits of concomitants of order statistics (COSs) arising from the extended Farlie–Gumbel–Morgenstern (FGM) bivariate distribution, which was developed and studied in recent work. The joint distribution
Externí odkaz:
https://doaj.org/article/9ce4612affce45e7bc0bece4ea3a4bc7
Publikováno v:
Mathematics, Vol 11, Iss 6, p 1377 (2023)
In this work, we reveal some distributional characteristics of concomitants of generalized order statistics (GOS) with parameters that are pairwise different, arising from iterated Farlie–Gumbel–Morgenstern (IFGM) family of bivariate distribution
Externí odkaz:
https://doaj.org/article/bfdf59f9918249c79316db315435a872
Publikováno v:
Journal of Mathematics, Vol 2021 (2021)
In the present paper, we use the fractional and weighted cumulative residual entropy measures to test the uniformity. The limit distribution and an approximation of the distribution of the test statistic based on the fractional cumulative residual en
Externí odkaz:
https://doaj.org/article/18f4842114ee425082e410022487fb1c
Publikováno v:
Mathematics, Vol 10, Iss 5, p 771 (2022)
The Tsallis entropy is an extension of the Shannon entropy and is used extensively in physics. The cumulative residual Tsallis entropy, which is a generalization of the Tsallis entropy, plays an important role in the measurement uncertainty of random
Externí odkaz:
https://doaj.org/article/84740287a0cc4b018534501b0936ca19
Publikováno v:
Entropy, Vol 23, Iss 3, p 335 (2021)
In this paper, we study the concomitants of dual generalized order statistics (and consequently generalized order statistics) when the parameters γ1,…,γn are assumed to be pairwise different from Huang–Kotz Farlie–Gumble–Morgenstern bivaria
Externí odkaz:
https://doaj.org/article/f62550b9ff7d460ca7a594d7eec0744a
Publikováno v:
Symmetry; Volume 15; Issue 6; Pages: 1257
In this work, we reveal some distributional traits of concomitants of order statistics (COSs) arising from the extended Farlie–Gumbel–Morgenstern (FGM) bivariate distribution, which was developed and studied in recent work. The joint distribution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::efc484724e6dc6150bf1fd3e72310d44