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stat.ME2026
Pseudo Empirical Best Prediction of Multiple Characteristics in Small Areas
William Acero, Domingo Morales, Isabel Molina
Small area estimators that ignore the sampling design lack design consistency when the sampling mechanism is complex and may be severely biased under informative designs. Existing…
stat.ME2025
Small Area Estimation of General Indicators in Off-Census Years
William Acero, Isabel Molina, J. Miguel Marín
We propose small area estimators of general indicators in off-census years, which avoid the use of deprecated census microdata, but are nearly optimal in census years. The procedur…
stat.ME2024
Unifying small area estimators based on area-level and unit-level models through calibration
William Acero, Isabel Molina, J. Miguel Marín
When estimating area means, direct estimators based on area-specific data, are usually consistent under the sampling design without model assumptions. However, they are inefficient…