CD Skripsi
Penaksir Yang Efisien Untuk Rata-Rata Populasi Dengan Metode Imputasi Terhadap Variabel Tambahan
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 data, simple random sampling, poststratification
sampling, bias, means square error, relative efficient
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