Prababilistic models for dynamic systems with unknown parameters are c
onstructed. The results care applied to study autoregression processes
. In Particular, the parameters of the dynamics of an autoregression p
rocess with convergent moments of deviations of different orders and f
unctionals of its mean-square convergent noise distributions are estim
ated.