Abuzaid, Ali; Abu El-laban, Walaa; Hussin, Abdul Ghapor(Pakistan Journal of Statistics and Operation Research, 2018)
This paper extends the simple linear regression model with wrapped Cauchy error to the functional case
when both variables are subjected to wrapped Cauchy errors. Assuming the ratio between the two error
variances is ...
Abuzaid, Ali; Alshqaq, Shokrya(Taylor and Francis, 2021-02-11)
This article proposes robust versions of Mallows’ Cp criterion to select the
best variables for a multiple linear regression model with a small number
of variables in the presence of outliers. The robustness measures ...
Maximum likelihood estimation (MLE) is often used to estimate the parameters of the circular logistic regression model due to its
efficiency under a parametric model. However, evidence has shown that the classical MLE ...
Abuzaid, Ali; El Shekh Ahmed, H(ISOSS Publications, 2021-04-26)
The modeling of the relationship between a binary variable and circular variables
has not been well investigated yet. This article considers the problem of outliers’
detection in the circular logistic regression model; ...
This paper presents the identification of outliers in multiple circular regression model (MCRM), where the model studies
the relationship between two or more circular variables. To date, most of the published papers ...
El Shekh Ahmed, Hazem; Abuzaid, Ali; Al Awar, Ikhlas(Life Sciences: an International Journal, 2019)
Background: Outlier detection has recently become an important problem in many industrial and
financial applications. The proposal in this paper is based on detect an outlier in circular data by
the local density factor ...
Abuzaid, Ali; Mahdi, E; Atta, A(Communications for Statistical Applications and Methods, 2020-09-30)
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 ...
Abuzaid, Ali(Statistics in Transition New Series, 2020-09-01)
The problem of outlier detection in univariate circular data was the object of increased interest over the last decade. New numerical and graphical methods were developed for samples from different circular probability ...
his 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 ...
This article is considered to be the first to deal with the problem of outlier‐detection in multivariate circular data. The proposed algorithm is an extension of the Local Outlier Factor (LOF) method. Two different circular ...
Background: Cervical and breast cancers are leading causes of death among women. Although many current treatments used to treat these diseases, it is still rapidly spreading worldwide. Recently, triazole compounds have ...
Atta, A; Shoraim, M; Yahya, S; Abuzaid, Ali; Mahdi, E(Journal of Engineering and Applied Sciences, 2020-01)
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 ...
Allahham, Nabeel(Al Azhar University - Gaza, 2015)
Studying the association between random variables is an important subject in
statistical analysis. In the case of circular variables where their ranges are bounded; special
type of regression models are needed.
This ...
Indoor radon increases the health hazard due to long-term exposure. Most building materials of natural origin contain small amount of naturally occurring radioactive materials. The building materials of natural origin ...
Abu Hany, Atta A.K.; Al Agha, Mahmoud(General Letters in Mathematics, 2017-10)
This paper provides more extensions on Cerone's generalizations of Steffensen’s inequality with bounds involving any two subintervals. Moreover, we introduce some applications for integral mean.
Abu Hany, Atta A.K.; Salim, Tariq O.; El-Khatib, Mohammed S.(Hindawi Journal of Mathematics, 2019-10)
+e aim of this article is to introduce a new definition for the Fourier transform. +is new definition will be considered as one of
the generalizations of the usual (classical) Fourier transform. We employ the new Katugampola ...
Abu Hany, Atta A.K.; El-Khatib, Mohammed S.; Shourrab, Abbas K.(General Letters in Mathematics, 2019-03)
We focus our attention in this article on some recent results regarding Hardy-Hilbert's inequalities. We derive an
equivalent form using katugampola Fractional Calculus and introduce new analogs to some Hardy-Hilbert's ...
This paper aims to evaluate and map the groundwater quality in the
Gaza Strip by the means of geostatistical procedures including variograms,
Kriging and maps interpolation. Electrical Conductivity (EC) of water is ...
Circular data arise quite frequently in many natural and physical sciences. Standard
statistical techniques can't be used to analyze circular data due to the circular geometry of the
sample space. Circular data as any ...
Abuzaid, Ali; Saleh, Shokrya(STATISTICS, OPTIMIZATION AND INFORMATION COMPUTING, 2019-12-02)
Most of the commonly used linear regression variable selection techniques are affected in the presence of outliers
and high leverage points and often could produce misleading conclusions. This article proposes robust ...