Modern systems of official statistics require the timely estimation of area-specific densities of sub …-parametric kernel density estimation that reverses the rounding process by using a Bayesian measurement error model. The methodology is …

with potentially asymmetric rounding behaviour in univariate kernel density estimation is presented in this work. The …

Among a variety of small area estimation methods, one popular approach for the estimation of linear and non …-linear indicators is the empirical best predictor. However, parameter estimation using standard maximum likelihood methods is not … is often the case for income variables. Therefore, this work proposes an estimation method, which enables the estimation …

forecast errors to estimate measures of forecast uncertainty. This work addresses the question how the latter estimation can be …