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

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 …

kernel density estimates (KDE) offer advantages over classical choropleth maps. However, kernel density estimation needs … aggregates for kernel density estimation. Their algorithm simulates "exact" geo-coordinates which reflect the information on the …, the original algorithm is modified to cope with the estimation of a ratio of two densities. Our empirical examples refer …