Weight smoothing models to estimate survey estimates from binary data Universiteit Hasselt
In surveys, when the number of respondents in a post-stratum is small relative to the population size in that post-stratum, post-stratification weights are inflated and modifications are required to obtain less variable estimates. Weight smoothing models, random-effects models that induce shrinkage across post-stratum means, are such modifying methods. We describe the empirical Bayes weight smoothing model approach to estimate the overall mean ...