Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Etaf Alshawarbeh"'
Autor:
Amulya Kumar Mahto, Yogesh Mani Tripathi, Sanku Dey, Basim S.O. Alsaedi, Marwan H. Alhelali, Fatimah M. Alghamdi, Amani Alrumayh, Etaf Alshawarbeh
Publikováno v:
Alexandria Engineering Journal, Vol 101, Iss , Pp 330-342 (2024)
Accelerated life tests play a very critical role in reliability analysis because highly reliable products are being produced with recent advanced technologies to sustain the market demand and competition. A progressive-stress accelerated life test is
Externí odkaz:
https://doaj.org/article/59e9c004cd834075869edc5bb035c9ac
Publikováno v:
Alexandria Engineering Journal, Vol 96, Iss , Pp 99-111 (2024)
We consider and implement a new contemporary and state-of-the-art probabilistic model with optimal data modeling capabilities. We call the present probabilistic model a new beta power flexible Weibull distribution. It is obtained by using the flexibl
Externí odkaz:
https://doaj.org/article/cb62605cbe614a119604593e9ec812f5
Publikováno v:
Alexandria Engineering Journal, Vol 93, Iss , Pp 33-43 (2024)
Recent teaching trends are increasingly integrating diverse multimedia and computer-aided practices to enhance representation and understanding. Leveraging data-focused strategies, these methods are further refined with artificial intelligence and de
Externí odkaz:
https://doaj.org/article/a4b4653630504758a48a5d398a67e827
Autor:
Etaf Alshawarbeh
Publikováno v:
Alexandria Engineering Journal, Vol 93, Iss , Pp 189-206 (2024)
In the present article, we derive a new Modified-X (NM-X) family of probability distributions by using a popular approach known as the T-X method. For the NM-X family, some of the main distributional (or statistical) properties such as quantile funct
Externí odkaz:
https://doaj.org/article/1492b2a3c8ec414cbe95ef6356edf0e4
Publikováno v:
Alexandria Engineering Journal, Vol 94, Iss , Pp 310- (2024)
Externí odkaz:
https://doaj.org/article/57aec5957f304a2d81444dd04020ba3f
Autor:
Etaf Alshawarbeh, Fatimah M. Alghamdi, Mohammed Amine Meraou, Hassan M. Aljohani, Mahmoud Abdelraouf, Fathy H. Riad, Sara Mohamed Ahmed Alsheikh, Meshayil M. Alsolmi
Publikováno v:
Symmetry, Vol 16, Iss 6, p 751 (2024)
The fitting and modeling of skewed, complex, symmetric, and asymmetric datasets is an exciting research topic in many fields of applied sciences: notably, lifetime, medical, and financial sciences. This paper introduces a heavy-tailed Nadarajah Haghi
Externí odkaz:
https://doaj.org/article/999a8055296e4826813048c3206aa81f
Autor:
Eslam Hossam, Alanazi Talal Abdulrahman, Ahmed M. Gemeay, Nawaf Alshammari, Etaf Alshawarbeh, Nour Khaled Mashaqbah
Publikováno v:
Alexandria Engineering Journal, Vol 61, Iss 11, Pp 8823-8842 (2022)
This paper introduced a relatively new statistical model as an extension of Gumbel distribution, which combines the new alpha power transformation method and Gumbel distribution. Different statistical properties of the proposed model were derived mat
Externí odkaz:
https://doaj.org/article/242e3223361a455fb42904c225942c06
Publikováno v:
Mathematics, Vol 11, Iss 22, p 4594 (2023)
The core objective of this work is to predict stock market indices’ using autoregressive integrated moving average (ARIMA), artificial neural network (ANN) and their combination in the form of ARIMA-ANN. Financial data are, in fact, trendy, noisy a
Externí odkaz:
https://doaj.org/article/56c5ed86e2ea4fcbb4dc986830ac02ec
Publikováno v:
Mathematics, Vol 11, Iss 14, p 3108 (2023)
The modeling of pandemics is significant in understanding and addressing the spread of infectious diseases. This study introduces a novel and highly flexible extension of the asymmetric unit Burr–Hatke distribution, termed the power Burr–Hatke di
Externí odkaz:
https://doaj.org/article/4c4a31fb5380416391a35097bf6cf994
Autor:
Bouhadjar Meriem, Ahmed M. Gemeay, Ehab M. Almetwally, Zeghdoudi Halim, Etaf Alshawarbeh, Alanazi Talal Abdulrahman, M. M. Abd El-Raouf, Eslam Hussam
Publikováno v:
Journal of Function Spaces, Vol 2022 (2022)
The power XLindley (PXL) distribution is introduced in this study. It is a two-parameter distribution that extends the XLindley distribution established in this paper. Numerous statistical characteristics of the suggested model were determined analyt
Externí odkaz:
https://doaj.org/article/80df8fc966f146b58b211c3102cb8e54