RT Journal Article ID 6665d59d25cfbc13 A1 Sarychev, Alexander P. T1 Modeling in a Class of Autoregression Equations Systems in Conditions of Structural Uncertainty JF Journal of Automation and Information Sciences JO JAI(S) YR 2015 FD 2015-09-10 VO 47 IS 7 SP 59 OP 88 K1 autoregression equations system K1 optimum set of regressors K1 training sample K1 testing sample K1 size of sample. AB For modeling in a class of autoregression equations system there is developed the system criterion of regularity of Group Method of Data Handling with subdividing the observations into training and testing subsamples. The existence of the optimum set of regressors is proved. The condition of a reduction of the optimum system of regression equations is obtained. This condition depends on parameters of autoregression equations system and the size of samples. PB Begell House LK https://www.dl.begellhouse.com/journals/2b6239406278e43e,458e99eb6cdbe3c1,6665d59d25cfbc13.html