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Browsing Department of Mathematics by Issue Date

Browsing Department of Mathematics by Issue Date

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  • Abuzaid, Ali; Mohamed ·, IB; Hussin, AG (Communications in Statistics - Simulation and Computation, 2009-02-24)
    In this article, we present an alternative test of discordancy in samples of univariate circular data. The new technique is based on the effect of existence of an outlier on the summation of circular distances of the point ...
  • Abuzaid, Ali; Hussin, AG; Mohamed ·, IB (Journal of Applied Probability and Statistics, 2009-05)
    In this paper, a new definition of circular residuals based on circular distance is proposed. The property of the new residuals enables us to perform two tasks: the diagnostic checking on the assumption of linear circular ...
  • Hussin, AG; Abuzaid, Ali; Zulkifili, F; Mohamed ·, IB (Scienceasia, 2010)
    This paper discusses the asymptotic covariance and outlier detection procedure in a linear functional relationship model for an extended circular model proposed by Caires and Wyatt. We derive the asymptotic covariance ...
  • Abuzaid, Ali; Mohamed ·, IB; Hussin, AG; Rambli, A (Chiang Mai J. Sci, 2011-07-01)
    Few studies have considered the modeling of a linear relationship between two circular variables or circular regression model. However, the problem of outlier detection in these models has not received enough consideration. ...
  • Abuzaid, Ali; Mohamed, IB; Hussin, AG (Computational Statistics, 2012-09-01)
    A boxplot is a simple and flexible graphical tool which has been widely used in exploratory data analysis. One of its main applications is to identify extreme values and outliers in a univariate data set. While the boxplot ...
  • Abuzaid, Ali; Hussin, AG; Rambli, A; Mohamed, IB (Communications in Statistics-Simulation and Computation, 2012-11-01)
    This article considers the derivation of approximate distributions for two types of statistics that can be used in developing new tests of discordance in circular samples from the von Mises distribution. An alternative ...
  • Abuzaid, Ali; Hussin, AG; Mohamed ·, IB (Journal of Statistical Computation and Simulation, 2013-02-01)
    The investigation on the identification of outliers in linear regression models can be extended to those for circular regression case. In this paper, we propose a new numerical statistic called mean circular error to ...
  • Kulab, Moneb (Al Azhar University - Gaza, 2014)
    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 ...
  • 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 ...
  • Abuzaid, Ali (Springer, 2015-02-28)
    Middle-censoring is considered as a modern general scheme of censoring. In this paper, we study the analysis of middle-censored data with Burr-XII distribution which is considered one of the most popular and flexible ...
  • 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.
  • Abuzaid, Ali (Al Azhar University - Gaza, 2018)
    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 ...
  • 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 ...
  • 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 ...
  • ALKASADI, N; IBRAHIM, S; Abuzaid, Ali; YUSOFF, M I (Sains Malaysiana, 2019)
    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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Abuzaid, Ali; Abed, Enass; Atta, A; Mahdi, E (Statistics, Optimization & Information Computing, 2020-02-17)
    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 ...

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