Abstract
Indonesian’s data are obtained from BPS from census, but census are designed for large area. Now, local goverments need to have reliable and detailed information in small area. Direct estimation are unreliable to be applied in small area because produced high mean square error (MSE). To overcome this problem, we use the indirect estimation Small Area Estimation Hierarchical Bayesian (SAE HB) with Logit Normal as the model. From this study founded that HB produced a smaller MSE than direct estimation
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