Robust statistics, as a concept, probably dates back to the prehistory of statistics. It has, however, been formalized in the sixties by the pioneering work of Huber and Hampel. Robust statistics is an extension of classical statistics, which takes into account the fact that models assumed to...

Model-based small area predictors are derived under the assumption that data files are complete. In application to real data, files may contain missing values. We introduce a variant of the bivariate Fay-Herriot model that takes into account for missing values in one component of the target...

The assumptions of multidimensionality measures seem to be violated as researcher apply unidimensional reliability coefficient (i.e. alpha coefficient) to estimatereliability for multidimensional data. There are several reliability coefficients for multidimensional measure is applicable and...