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Modeling in the class of regression equations systems in structural uncertainty conditions
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UDC: 519.25
Publication Language: Russian
Stuc. intelekt. 2014; 19(4):14–29
Abstract: For modeling in a class of regression equations systems the system criterion of regularity with dividing of observation sample on training and testing subsamples is offered. It is proved, that the optimum set of regressors exists. The condition of a reduction of optimum system of regression equations is obtained. This condition depends on parameters of system regression equations and volumes of samples.
Keywords: uncertainty on structure of regressors, system criterion of regulatory
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