The course deals with decision-making methods based on the Neumann-Pearson fundamental lemma, Naumann classical concept, the fundamentals of optimal strategy choice for statistical hypothesis testing; formulation of decision-making problems using statistical uncertainty and risk; construct Bayesian decision-making procedures and minimax procedure at statistical uncertainty; decision making using probability theory and asymptotic methods for parameter estimation; to construct the regression line.