As a rule, it is possible to construct an adequate probabilistic model (W, в„±, P(в€™))for a statistically stable experiment (control system) Р only in simple cases. To solve this problem for the experiment Р of a complex structure, an approach has been suggested in [1] which is based on a parametric set U with elements u and a family {(W, в„±, P
u (в€™)): u ГЋ U } of probabilistic models. A difficult optimization problem arises here: to choose by some criterion from the family {(W, в„±, P
u (в€™)): u ГЋ U } in some cases, an adequate model for the experiment Р, and, in other cases, a target model for this experiment [2пЂ-4]. Using notation and results from [1], the article considers the problem for a class of permutation and quasi-permutation strategies.
|
