Penaksir Yang Efisien Untuk Rata-Rata Populasi Dengan Metode Imputasi Terhada…

This final project discusses two estimators, which are [(¯yFT )D]k=1 and [(¯yFT )D]k=2. These two estimators have variables Y and imputated auxiliary variables X. Then bias and means square error (MSE) are shown. Furthermore MSE of these two estimators are compared. This comparison shows that the estimator which has the smallest MSE is relatively efficient. Keywords: Imputation, missing …