Research project: New bootstrap bia corrections with application to estimation of prediction MSE in small area estimation with binary data
Estimation of the prediction mean square error (MSE) in SAE under the frequentist approach is known to be a complicated problem even under well defined models because of the use of estimated model parameters for the predictors and the fact that the added variability implied by this cannot be ignored.