المقارنة بين طريقتي Sو Mلتقدير انحدار الحرف الحصين في ظل وجود القيم الشاذة باستعمال أسلوب المحاكاة

Abstract

Mostly, statistical methods are based on the assumption that the probability distribution of regression model data is normal, but in the applied case, these data often have other distributions or may be skewed, due to the presence of some outliers.In this research, two methods were used to estimate the parameters of the hippocampal regression model. If literal regression is used to address the problem of multicollinearity using powerful methods, namely (M, S) to show the effect of the presence of outliers in observation values, if a simulation method is used based on a model that includes two independent variables. In order to make a comparison between these methods and indicate the best estimation method using AMSE mean square error comparison measure to measure model efficiency.