|Title of the article||
OBJECT’S STATE PREDICTION ON THE BASIS OF THE AUTOREGRESSIVE MODEL
Makarychev Petr Petrovich, Doctor of engineering sciences, professor, head of sub-department of software and computer application, Penza State University (40 Krasnaya street, Penza, Russia), E-mail: firstname.lastname@example.org
Background. Identification and forecasting of the state of technical means, social and economic systems is an urgent task. In the article the method of construction of models of identification and forecasting on the basis of theoretical assumptions of the regression analysis and dynamic systems is considered. A distinctive feature of the technique is the representation of the object in the form of a dynamic system with a dedicated feedback, elements of nonlinearity and delay. The concepts of factor and correlation analysis were used to assess the quality of the models.
autoregressive model, multiple regression, autoregression, parameter identification, factor and correlation analysis
1. Radchenko S. G. Matematicheskie mashiny i sistemy [Mathematical machines and systems]. 2013, no. 1, pp. 150–155. [In Russian]
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