摘要：Small Area Estimation (SAE) is one of the statistical methods that used to estimate parameters of model from small subpopulations. Because of that, additional information is needed to predict these parameters that will result a more accurate predictive value. The Bayes empirical method is a method in SAE that uses the Bayes method in estimating parameter value. This method can be used to process binary data by using Beta-Binomial models both theoretically and simulation study. This study aims to implement the simulation study to describe Beta Binomial model using empirical Bayes in SAE approach. To illustrate the method, we consider three conditions of the models, those are classical estimator, empirical Bayes with indicator variables and empirical Bayes without indicator variable. This study proved that empirical Bayes with indicator variable gave a better parameter estimation result with the smallest mean square errors compared to the others model. Keywords: SAE, Empirical Bayes Method, Beta-Binomial Model
