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Integrating Multivariate Adaptive Regression Splines into Small Area Estimation for Nonlinear Poverty Modeling in Java Island
Small area estimation (SAE) modeling is often used to address the unreliability of estimates in areas with limited survey samples. However, standard SAE models (Fay-Herriot) can only accommodate linear patterns, whereas in real cases, including poverty, many patterns are nonlinear. This study propos
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