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Industrial Automatic Control Systems and Controllers

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Approach to Evaluating Changes in Structure of Time Series in Automated Systems of Management of Socioeconomic Processes
E.I. Novikov, M.V. Rogozin, A.A. Dvilyanskaya

The article presents an approach to solving the problem of determining the moments of structural shifts in time series describing dynamic of changes in socio-economic indicators. It based on using interval analysis of the numerical characteristics of time series. Proposed solutions can reduce computational complexity necessary to solve the problem and improve precision of forecasting socio-economic indicators. The implementation of described approach in automated systems of managing socio-economic processes will improve efficiency of managerial decisions.
Keywords: management automation, forecasting, time series, stationary of time series, structure of time series, statistical assessment, numerical characteristics of time series, forecasting precision.


DOI: 10.25791/asu.3.2020.1168

Pp. 29-39.

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