CD Skripsi
Mean Square Error Terkecil Dari Kombinasi Penaksir Rasio-Produk Untuk Rata-Rata Populasi Pada Sampling Acak Berstrata
This scribe discussed about the ratio and product estimators for mean population in the stratified random sampling. It is combinations ratio-product estimator in stratified random sampling, combinations ratio-product estimator using information on the coefficient of variation by Kadilar and Cingi (2003) and combination ratio-product estimators using information on the coefficient of kurtosis by Kadilar and Cingi (2003) in stratified random sampling. All of estimator is a bias estimator, then determined the bias and large Mean Square Error. Furthermore, the Mean Square Error of each estimator was determined to get a more efficient estimator. This comparison shows that the combination of the rasio and product estimator using coefficient of kurtosis is more efficient, that is with the smallest Mean Square Error.
Keywords: Bias, Coefficient of variation, Coefficient of kurtosis, Ratio Estimator, Product Estimator, Stratified Random Sampling, Mean Square Error
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