Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Tahani A. Abushal"'
Publikováno v:
Heliyon, Vol 10, Iss 13, Pp e33874- (2024)
When software systems are introduced, they are typically deployed in field environments similar to those used during development and testing. However, these systems may also be used in various other locations with different environmental conditions,
Externí odkaz:
https://doaj.org/article/cd18eaad87014f7baa64cbcaba3d059a
Publikováno v:
Heliyon, Vol 10, Iss 9, Pp e30762- (2024)
In survival and stochastic lifespan modeling, numerous families of distributions are sometimes considered unnatural, unjustifiable theoretically, and occasionally superfluous. Here, a novel parsimonious survival model is developed using the Bilal dis
Externí odkaz:
https://doaj.org/article/46839034d7ce44feb3615b4f07838d36
Autor:
Tahani A. Abushal
Publikováno v:
Heliyon, Vol 10, Iss 5, Pp e26794- (2024)
Nadarajah and Haghighi distribution (NHD) inferences problem has been discussed under unified hybrid censoring scheme (UHCS) in the existence of competing risks model. Competing risks model is defined by time-to-failure under more than one cause of f
Externí odkaz:
https://doaj.org/article/5dab6dfdbd364c13952143c146c24d60
Publikováno v:
Artificial Intelligence in the Life Sciences, Vol 4, Iss , Pp 100082- (2023)
The core objective of this research is to describe the behavior of the distribution using the MLE method to estimate its parameters, as well as to determine the optimal Artificial Neural Network method by comparing it to the maximum likelihood estima
Externí odkaz:
https://doaj.org/article/9907b8f6f9cd499d8559888b9eb0ba2e
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract In this study, point and interval estimations for the power Rayleigh distribution are derived using the joint progressive type-II censoring technique. The maximum likelihood and Bayes methods are used to estimate the two distributional param
Externí odkaz:
https://doaj.org/article/9968bbf5c4014fd6953bda9106a7b629
Autor:
Muhammad Amin, Saima Afzal, Muhammad Nauman Akram, Abdisalam Hassan Muse, Ahlam H. Tolba, Tahani A. Abushal
Publikováno v:
AIMS Mathematics, Vol 7, Iss 8, Pp 15331-15347 (2022)
In data analysis, the choice of an appropriate regression model and outlier detection are both very important in obtaining reliable results. Gamma regression (GR) is employed when the distribution of the dependent variable is gamma. In this work, we
Externí odkaz:
https://doaj.org/article/3606de3216db444ba8b4a58288c4da74
Autor:
Tahani A. Abushal, Alaa H. Abdel-Hamid
Publikováno v:
AIMS Mathematics, Vol 7, Iss 1, Pp 425-454 (2022)
It is of great importance for physicists and engineers to assess a lifetime distribution of a series-parallel system when its components' lifetimes are subject to a finite mixture of distributions. The present article addresses this problem by introd
Externí odkaz:
https://doaj.org/article/f70b204ac0594c0d8ee9cf86563e418a
Autor:
Tahani A. Abushal
Publikováno v:
AIMS Mathematics, Vol 6, Iss 10, Pp 10789-10801 (2021)
In this paper, the problem of estimating the parameter of Akash distribution applied when the lifetime of the product follow Type-Ⅱ censoring. The maximum likelihood estimators (MLE) are studied for estimating the unknown parameter and reliability
Externí odkaz:
https://doaj.org/article/3b7d8778dde64d5d992a44ae03cb524b
Autor:
Showkat Ahmad Lone, Tabassum Naz Sindhu, Marwa K. H. Hassan, Tahani A. Abushal, Sadia Anwar, Anum Shafiq
Publikováno v:
Mathematics, Vol 11, Iss 8, p 1797 (2023)
Statistical models are vital in data analysis, and researchers are always on the search for potential or the latest statistical models to fit data sets in a variety of domains. To create an improved statistical model, we used a T-X transformation and
Externí odkaz:
https://doaj.org/article/42f7a31fd3b846b49b75a4f77d8d5142
Autor:
Showkat Ahmad Lone, Tabassum Naz Sindhu, Sadia Anwar, Marwa K. H. Hassan, Sarah A. Alsahli, Tahani A. Abushal
Publikováno v:
Axioms, Vol 12, Iss 3, p 309 (2023)
Recently, the use of mixed models for analyzing real data sets with infinite domains has gained favor. However, only a specific type of mixture model using mostly maximum likelihood estimation technique has been exercised in the literature, and fitti
Externí odkaz:
https://doaj.org/article/a3c61de175aa4c0099c7785dea83af41