Heba Tallah Ahmed Eldeeb <br/><br/>
A regression mean estimator based on weights from auxiliary variables using mathematical programming /  
 استخدام البرمجة الرياضية في تقدير متوسط الانحدار المرجح بالمتغيرات المساعدة 
Heba Tallah Ahmed Eldeeb ; Supervised Ramadan Hamed , Ali Elhefnawy 
 - Cairo :   Heba Tallah Ahmed Eldeeb ,   2012 
 - 59 P. ;   25cm 
<br/><br/>Thesis (M.Sc.) - Cairo University - Faculty of Economics and Political Science - Department of Statistics 
<br/><br/> A procedure for constructing a vector of regression weights less affected by outliers is considered. In the presence of multicollinearity and outliers, the proposed estimator has minimum model mean squared error. Through a simulation study, the proposed weights, the ridge regression weights, regression weights, OLS weights and raking ratio weights are compared 
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<br/><br/><label>Subjects--Index Terms: </label>Mean square error Outliers Regression estimator