Cross-validation techniques in the practical problem of the choice of the regression estimator

The paper is devoted to the problem of a choice between various regression estimators in real world applications. We emphasise the role of cross-validation techniques when doing such a choice in actual usage, especially in the situations where theoretical assumption about considered problem are difficult to verify and the aim of the model building is the prediction of future values of the response variable.