CD Skripsi
Modifikasi Penaksir Regresi Yang Efisien Untuk Rata-Rata Populasi Pada Sampling Acak Sederhana
In this final project three types of estimators are discussed, namely mean
estimator in simple random sampling, linear regression estimator and
regression ratio estimator using information on auxiliary variable. These
estimators are biased for regression ratio estimators and unbiased for linear
regression and average estimators, then the Mean Square Error (MSE) of each
estimator is determined. Furthermore, MSE from these three estimators are
compared by using relative efficiency. It is observed that regression ratio
estimator is the most efficient estimator with the smallest MSE.
Keywords: Simple random sampling, mean square error, linear regresi, bias
estimator
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