The monograph, from the standpoint of the principles of collective assessment, proposes methods for the synthesis and analysis of a new class of non-parametric decisive rules in the tasks of restoring stochastic dependencies, pattern recognition and modeling spatially distributed time systems in conditions of heterogeneous information. The advantage of the developed non-parametric decision-making systems is the effective use of a priori information on the type of recoverable patterns and information of training samples.