APPROXIMATION OF BIVARIATE PROBABILITY DENSITIES WITH PARAMETRIC MODELS
The paper deals with the parametric model used to identify the type and parameters of bivariate distribution based on the discrete bivariate sample available. The methods suggested are based on the classification of distribution laws and the identification of distribution parameters applying neural networks. The authors describe the neural networks which are realized with the special software; calculations of approximation quality are presented.