Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Wael S. Abu El Azm"'
Publikováno v:
AIP Advances, Vol 13, Iss 11, Pp 115206-115206-15 (2023)
This study discusses the Gompertz distribution’s statistical inference using unified hybrid censored data. Under various loss functions, the maximum likelihood and Bayesian approaches are explored for estimating the parameters for the Gompertz dist
Externí odkaz:
https://doaj.org/article/f3aa7251c8424b75be654fd815382c65
Autor:
Asmaa Hosny Abd-Elshafy, Gehan Hassan El-Meniawy, Wael S. Abu El Azm, Mahmoud S. El Fakharany
Publikováno v:
Bulletin of Faculty of Physical Therapy, Vol 27, Iss 1, Pp 1-6 (2022)
Abstract Background The goal of this study was to look at the correlation between forwarding head posture and back muscle endurance in 288 primary school healthy active children aged 7–10 years old in public schools in Sheblanga, Benha, Qalubyia go
Externí odkaz:
https://doaj.org/article/6b618352602647aa9e6c28103a4e7512
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 6, Pp 6252-6276 (2022)
In real-life experiments, collecting complete data is time-, finance-, and resources-consuming as stated by statisticians and analysts. Their goal was to compromise between the total time of testing, the number of units under scrutiny, and the expend
Externí odkaz:
https://doaj.org/article/fc2f26f10ae741029c78a3e819dfc075
Publikováno v:
International Journal of Modelling and Simulation. :1-21
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29b945a0b739806e8454cc7a6f003aca
https://doi.org/10.1080/02286203.2023.2169570
https://doi.org/10.1080/02286203.2023.2169570
Autor:
Ahmed Elshahhat, Wael S. Abu El Azm
Publikováno v:
Quality and Reliability Engineering International. 38:1112-1130
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62e2e73deb6c81a44881c00c9d42aa49
https://doi.org/10.1002/qre.3058
https://doi.org/10.1002/qre.3058
Autor:
Ehab M. Almetwally, O. E. Abo-Kasem, Abd Al-Aziz Hosni El-Bagoury, Randa Alharbi, Wael S. Abu El Azm, Sundus Naji Al-Aziz
Publikováno v:
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience, Vol 2021 (2021)
Computational Intelligence and Neuroscience, Vol 2021 (2021)
A new five-parameter transmuted generalization of the Lomax distribution (TGL) is introduced in this study which is more flexible than current distributions and has become the latest distribution theory trend. Transmuted generalization of Lomax distr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::403abbd4ab88560589f20e96427c67fa
https://doi.org/10.1155/2021/5918511
https://doi.org/10.1155/2021/5918511
Autor:
Abdulaziz Alghamdi, Wael S. Abu El Azm, O. E. Abo-Kasem, Hassan M. Aljohani, Ehab M. Almetwally, Abdisalam Hassan Muse
Publikováno v:
Computational Intelligence and Neuroscience, Vol 2021 (2021)
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience
For the first time and by using an entire sample, we discussed the estimation of the unknown parameters θ 1 , θ 2 , and β and the system of stress-strength reliability R = P Y < X for exponentiated inverted Weibull (EIW) distributions with an equi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::556e4fe252831063719151b2cb1d639b
https://doi.org/10.1155/2021/4227346
https://doi.org/10.1155/2021/4227346
Publikováno v:
Annals of Data Science.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9ad4c77268e2042217ed8a448c23fbb
https://doi.org/10.1007/s40745-022-00409-5
https://doi.org/10.1007/s40745-022-00409-5
Autor:
Samir A. Ashour, Wael S. Abu El Azm
Publikováno v:
International Journal of Advanced Statistics and Probability. 4:20
This paper is concerned with the estimators problems of the generalized Weibull distribution based on Type-I hybrid progressive censoring scheme (Type-I PHCS) in the presence of competing risks when the cause of failure of each item is known. Maximum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf4eb9f2a796398d3448f0a9c25fbd4a
https://doi.org/10.14419/ijasp.v4i1.5735
https://doi.org/10.14419/ijasp.v4i1.5735
Autor:
Hassan, Amal S.1 (AUTHOR) amal52_soliman@cu.edu.eg, Alsadat, Najwan2 (AUTHOR), Chesneau, Christophe3 (AUTHOR), Shawki, Ahmed W.1,4 (AUTHOR) ahmed23484@hotmail.com
Publikováno v:
Electronic Research Archive. 2023, Vol. 31 Issue 11, p1-41. 41p.