Kurniati, RiniSugiarto, SigitEfendi, Rustam2014-03-252014-03-252014-03-25Rangga Dwijunanda Putrahttp://repository.unri.ac.id/xmlui/handle/123456789/5887This paper discussed about three the ratio-product estimators for mean population in the stratified random sampling. It is combinations of ratio estimator and product estimator in stratified random sampling. This paper is a review from the paper of Tailor et.al. [Communications of the Korean Statistical Society 18:111-118]. The estimators discussed are the combination of ratio-product estimator, combination of ratio-product estimator using coefficient of variation and combination of ratio-product estimator using coefficient of kurtosis. All of estimators are bias estimator. Then the mean square error (MSE) of each estimator is evaluated. Furthermore, the MSE of each estimator is compared. This comparison shows that the combination of ratio-product estimator is the most efficient, that is with the smallest MSEotherbiascoefficient of variationcoefficient of kurtosisratio-product estimatorstratified random samplingmean square errorOther