Fedaa Abdulahad

University of Al-Hamdaniya · Mathematics

In this research, we consider the study of conditional expectation and its relationship with regression model. The conditional expectation has a linear form which is specified as a simple linear regression model. The power transformation was used on the predictor variable which gave the best possible fit for the model which was derived from the bin...

In this paper, time spent and the repetition of using the Social Network Sites (SNS) in Android applications are investigated. In this approach, we seek to raise the awareness and limit, but not eliminate the repeated uses of SNS, by introducing AndroidTrack. This AndroidTrack is an android application that was designed to monitor and apply valid e...

This work is copyrighted by Università del Salento, and is licensed under a Creative Commons Attribuzione-Non commerciale-Non opere derivate 3.0 Italia License. For more information see: http://creativecommons.org/licenses/by-nc-nd/3.0/it/ The ridge estimator has been consistently demonstrated to be an attractive shrinkage method to reduce the effe...

ﻴﺘﻨﺎﻭل ﻫﺫ ﺍ ﺍﻟﺒﺤﺙ ﻤ ﺩﺭﺍﺴﺔ ﺴﺎﻟﺔ ﺍﻟﺘﻭﻗﻊ ﺍﻟﺸﺭﻁﻲ ﻭﻋﻼﻗﺘﻪ ﺒﻨﻤﻭﺫﺝ ﺍﻻﻨﺤﺩﺍﺭ ﻤﻥ ﺨﻼل ﺘﻭﺼﻴﻑ ﻤﻌﺎﺩﻟﺔ ﺍﻟﺘﻭﻗﻊ ﺍﻟﺸﺭﻁﻲ ﺫﺍﺕ ﺍﻟﻁﺎﺒﻊ ﺍﻟﺨﻁﻲ ﺒﻨﻤﻭﺫﺝ ﺍﻨﺤﺩﺍﺭ ﺨﻁﻲ ﺒﺴﻴﻁ ﻭﺍﺴﺘﺨﺩﺍﻡ ﺘﺤﻭﻴل ﺍﻟﻘﻭﻯ ﻟﻠﻤﺘﻐﻴﺭ ﺍﻟﺘﻭﻀﻴﺤﻲ ﻟﻠﺤﺼﻭل ﻋﻠﻰ ﺃﻓﻀل ﻤﻁﺎﺒﻘﺔ ، ﻤﻤﻜﻨﺔ ﻟﻠﻨﻤﻭﺫﺝ ﺍﻟﻤﺸﺘﻕ ﻤﻥ ﺒﺤﺠ ﺘﻭﺯﻴﻊ ﺜﻨﺎﺌﻲ ﺍﻟﺤﺩﻴﻥ ﺍﻟﻤﺸﺭﻭﻁ ـ ﻋﻴﻨ ﻡ ـ ﻤﺘﻐﻴٍﺭ ﺔ . ﺘﻡ ﺘﻘﺩﻴﺭ ﺒﺎﻻ ﻤﻌﻠﻤﺎﺕ ﺍﻟﻨﻤﻭﺫﺝ ﺍﻟﻤﻭﺼﻭﻑ ﻋﺘﻤﺎﺩ ﻋﻠﻰ ﺒﻴﺎﻨﺎﺕ ﺘﺠﺭﻴﺒﻴﺔ ﺘﻡ ﺘﻭﻟﻴﺩﻫ...

In this paper a measure of linear local dependence has been used between two random variables and a study is conducted for the properties of this measure where two examples of bivariate probability distributions has been considered, which are bivariate Gumbel distribution and bivariate Beta-Stacy distribution, and applied on data collected by using...

In this paper a method has been suggested to describe the conditional expectation of Bayesian probability distribution (Gamma-Gamma) by nonlinear regression model and using power transformation for the observations of the predictor variables in the observable distribution to get the best possible fitting to the model of the posterior conditional ex...

In this paper a method has been suggested to describe the conditional expectation of Bayesian probability distribution (Gamma-Gamma) by nonlinear regression model and using power transformation for the observations of the predictor variables in the observable distribution to get the best possible fitting to the model of the posterior conditional ex...