[Model-free biomathematical analysis and description of correlations]

Modelfree methods for nonparametric estimation of unknown continuous functions from measured values and their advantages as against fitting of analytical expressions are discussed. The main features are stated especially of the empirical regression and of the local adjusted polynomial approximation. These topics and problems of application of the procedures are illustrated by 3 examples coming from chronobiological, neuromorphometrical, and histochemical examinations.