[Empiric regression as a method for "parameter-free" refining and evaluation of morphometric data for functional stochastic relations between random variables].

The statistical resp. numerical procedures of empirical regression give an objective and prejudice-free possibility for quantitative description of functional-stochastic connections between random variables. This will be explaned by heuristical arguments illustrated at an example of histophotometrical measurements. Also the possibilities are shown for application of empirical regression procedures for a quantitative characterization of the systematical component in time series of morphometrical datas and for separation of such a trend component out of the time series.