Rahmawati, Hasri2021-08-242021-08-242020-10wahyu sari yenihttps://repository.unri.ac.id/handle/123456789/10136The product estimator being discussed is the product estimator for the average population in a simple random sampling using the robust regression coefficient. Robust regression being discussed uses the Least Trimmed Square (LTS) estimation method to estimate the slope coefficient. It is found that all three estimators are biased estimators. Then, the Mean Square Error (MSE) of the three estimators is compared to find the efficient estimator. It is found that an estimator that uses a combination of robust regression coefficient and kurtosis coefficient turns out to be the most efficient than other estimators when conditions are satisfied.enProduct estimatorsimple random samplingrobust regressionMean Square Errorcoefficient of kurtosisArticle