: Diagnostic Robust Generalized Potential
Robust Heteroscedastic Consistent Covariance Matrix
Masking
Swamping
التشخيص الحصين العام الكامن
مصفوفة التباين والتباين المشترك المتسقة الحصينة
الاغراق
الاخفاء .
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Linear regression is one of the most important statistical tools through which it is possible to know the relationship between the response variable and one variable (or more) of the independent variable(s), which is often used in various fields of science. Heteroscedastic is one of the linear regression problems, the effect of which leads to inaccurate conclusions. The problem of heteroscedastic may be accompanied by the presence of extreme outliers in the independent variables (High leverage points) (HLPs), the presence of (HLPs) in the data set result unrealistic estimates and misleading inferences. In this paper, we review some of the robust
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