MULTIVARIANT STATISTICAL EXPERIMENTS WITH PERSISTENT LINEAR REGRESSION AND EQUILBRIUM

The object of consideration is a sequence of multivariant statistical experiments with persistent nonlinear regression, given by a matrix of directing action of frequencies of certain attributes. Conditions for convergence of multivariant statistical experiments to the equilibrium state are investigated, and stochastic approximation is constructed as an autoregression process with normal perturbations in discrete time.