Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Esam Mahdi"'
Autor:
Esam Mahdi, Ameena Al-Abdulla
Publikováno v:
Econometrics, Vol 10, Iss 2, p 26 (2022)
In this paper, we investigate the relationship between the RavenPack news-based index associated with coronavirus outbreak (Panic, Sentiment, Infodemic, and Media Coverage) and returns of two commodities—Bitcoin and gold. We utilized the novel quan
Externí odkaz:
https://doaj.org/article/777d94e0d3954e4498871df0db430073
Publikováno v:
Journal of Applied Mathematics, Vol 2021 (2021)
Over the past few years, hierarchical Bayesian models have been extensively used for modeling the joint spatial and temporal dependence of big spatio-temporal data which commonly involves a large number of missing observations. This article represent
Externí odkaz:
https://doaj.org/article/ecd9b912706d4be192daad5df1767a8f
Publikováno v:
Sensors, Vol 21, Iss 18, p 6319 (2021)
In a real-world situation produced under COVID-19 scenarios, predicting cryptocurrency returns accurately can be challenging. Such a prediction may be helpful to the daily economic and financial market. Unlike forecasting the cryptocurrency returns,
Externí odkaz:
https://doaj.org/article/b8de59bb015c46d69b75caa4e6161dc4
Publikováno v:
Mathematical Methods in the Applied Sciences. 46:5208-5233
Publikováno v:
Communications for Statistical Applications and Methods. 27:547-568
Modeling the statistical autocorrelations in spatial data is often achieved through the estimation of the variograms, where the selection of the appropriate valid variogram model, especially for small samples, is crucial for achieving precise spatial
Publikováno v:
Journal of Engineering and Applied Sciences. 15:1508-1514
This study improves the performance of R control chart for monitoring process dispersion of skewed populations using scaled weighted variance method. This control chart, called Scaled Weighted Variance R control chart (SWV-R) hereafter, the SWV-R con
Publikováno v:
Statistics, Optimization & Information Computing. 8:54-65
This paper proposes an alternative procedure for detecting outliers in meta-regression using the penalized maximum likelihood with smoothly clipped absolute deviation penalty function. The coordinate descent algorithm is implemented to estimate the p
Autor:
Mustafa Mohammed Aljumaily, Nisreen S. Ali, Alyaa Esam Mahdi, Haiyam M. Alayan, Mohamed AlOmar, Mohammed Majeed Hameed, Bashar Ismael, Qusay F. Alsalhy, Mohammed A. Alsaadi, Hasan Sh. Majdi, Zainab Bahaa Mohammed
Publikováno v:
Water; Volume 14; Issue 9; Pages: 1396
Chemical pollutants, such as methyl orange (MO), constitute the main ingredients in the textile industry wastewater, and specifically, the dyeing process. The use of such chemicals leads to huge quantities of unfixed dyes to make their way to the wat
Publikováno v:
Journal of Applied Mathematics, Vol 2021 (2021)
Over the past few years, hierarchical Bayesian models have been extensively used for modeling the joint spatial and temporal dependence of big spatio-temporal data which commonly involves a large number of missing observations. This article represent
Autor:
Esam Mahdi, Thomas J. Fisher
A new portmanteau test statistic is proposed for detecting nonlinearity in time series data. In this paper, we elaborate on the Toeplitz autocorrelation matrix to the autocorrelation and cross-correlation of residuals and squared residuals block matr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9dd3dcf9dd9d7bb2baed16a937c48bc