About the parametric modeling of stochastic objects

The authors consider the problem of multi-dimensional static objects identification at different levels of a priori information and investigate the question of the influence of the selected parametric model structure on the identification quality under noise conditions, its adequacy to the actual mathematical description of the object. The results of computational investigation of different parametric models of multi-dimensional static processes are presented.