الكشف عن القيم المتطرفة في نموذج الانحدار الخطي مع التطبيق على بيانات تلوث مياه الآبار أطراف مدينة الموصل

Abstract EN

The research idea is concerned with identifying the effect of outliers on the parameters of the multiple linear regression analysis model.

where the outliers values that are present in the data are detected and diagnosed if they are in the independent variables or the dependent variable, which causes an impact on the estimation of the parameters of the studied model.

the extreme data types and methods of processing them have been identified to obtain a better model with high efficiency or reduce the impact of these values on the model, the MSE standard was developed for the purpose of comparing treatment methods and was applied to real data taken from the dams and water resources research center, University of Mosul.

suggested by (Shaker,2009) is the best in detection among the methods that have been used.