The proposed work is devoted to the use of the Bayesian approach based on probabilistic method of use, along with the original statistical data prior information about the current process. Especially significant advantages over classical methods in terms of the accuracy of the statistical inference Bayesian approach is in the relatively small samples, which is very characteristic of the simulation. A theorem on minimizing classification error probability is proved. About choosing a priori distribution parameters from the coordinated class of distributions is considered.

a priori distribution, a posteriori distribution, a coordinated distribution, Bayesian approach