Сибирский федеральный университет

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Conference on High-Tech and Innovations in Research and Manufacturing, HIRM 2019

Год издания: 2019

Идентификатор DOI: 10.1088/1742-6596/1353/1/012141

Аннотация: Doubtlessly, the process of modeling and planning economic processes is a complex procedure. The development of each specific economic system is built on plans, which are drawn up from forecasts. In this paper, the authors show the relationship between methods of exponential smoothing and autoregression. Further, the authors present the method of nonparametric selection of parameters in autoregressive models. Here, the algorithms used in the method give a comparative analysis of the results of the modeling process and retrospective forecasting is discussed. At the end of the paper, the authors give the basic recommendations on the usage of the presented method and its advantages. © 2019 Published under licence by IOP Publishing Ltd.

Журнал: Journal of Physics: Conference Series

Выпуск журнала: Vol. 1353, Is. 1

Номера страниц: 12141

ISSN журнала: 17426588

Издатель: Institute of Physics Publishing

• Gorodov A.A. (Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation, Reshetnev Siberian State University of Science and Technology, 31 Krasnoiarskii rabochii Avenue, Krasnoyarsk, 660037, Russian Federation)
• Shepeta N.A. (Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation, Reshetnev Siberian State University of Science and Technology, 31 Krasnoiarskii rabochii Avenue, Krasnoyarsk, 660037, Russian Federation)
• Goncharov A.E. (Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation, Reshetnev Siberian State University of Science and Technology, 31 Krasnoiarskii rabochii Avenue, Krasnoyarsk, 660037, Russian Federation)
• Bashmur K.A. (Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation)

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