STATISTICAL SYNTHESIS OF FORECAST CHARACTERISTICS OF COMPLEX TECHNICAL SYSTEM BY TIME SERIES

The article analyses the problem of building a medium-term forecast of the recovery trend in the average. We present a method of recovery trend in the form of a polynomial whose coefficients are determined by the inverse functions which are approximated by trigonometric polynomials. Also there are t...

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Main Authors: N. A. Severcev, V. M. Balick, E. V. Balick
Format: Article
Language:Russian
Published: Moscow State Technical University of Civil Aviation 2016-11-01
Series:Научный вестник МГТУ ГА
Subjects:
Online Access:https://avia.mstuca.ru/jour/article/view/188
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author N. A. Severcev
V. M. Balick
E. V. Balick
author_facet N. A. Severcev
V. M. Balick
E. V. Balick
author_sort N. A. Severcev
collection DOAJ
description The article analyses the problem of building a medium-term forecast of the recovery trend in the average. We present a method of recovery trend in the form of a polynomial whose coefficients are determined by the inverse functions which are approximated by trigonometric polynomials. Also there are the conditions describing the process of constructing trend in this article.
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institution Matheson Library
issn 2079-0619
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language Russian
publishDate 2016-11-01
publisher Moscow State Technical University of Civil Aviation
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series Научный вестник МГТУ ГА
spelling doaj-art-9ef83e2f0acb44c4928d7e9775fb76b62025-08-04T10:35:09ZrusMoscow State Technical University of Civil AviationНаучный вестник МГТУ ГА2079-06192542-01192016-11-01222149152188STATISTICAL SYNTHESIS OF FORECAST CHARACTERISTICS OF COMPLEX TECHNICAL SYSTEM BY TIME SERIESN. A. Severcev0V. M. Balick1E. V. Balick2ВЦ РАНМосковский авиационный институтМАИThe article analyses the problem of building a medium-term forecast of the recovery trend in the average. We present a method of recovery trend in the form of a polynomial whose coefficients are determined by the inverse functions which are approximated by trigonometric polynomials. Also there are the conditions describing the process of constructing trend in this article.https://avia.mstuca.ru/jour/article/view/188forecasttrendstatistical synthesis inverse functionstrigonometric polynomialstime series
spellingShingle N. A. Severcev
V. M. Balick
E. V. Balick
STATISTICAL SYNTHESIS OF FORECAST CHARACTERISTICS OF COMPLEX TECHNICAL SYSTEM BY TIME SERIES
Научный вестник МГТУ ГА
forecast
trend
statistical synthesis inverse functions
trigonometric polynomials
time series
title STATISTICAL SYNTHESIS OF FORECAST CHARACTERISTICS OF COMPLEX TECHNICAL SYSTEM BY TIME SERIES
title_full STATISTICAL SYNTHESIS OF FORECAST CHARACTERISTICS OF COMPLEX TECHNICAL SYSTEM BY TIME SERIES
title_fullStr STATISTICAL SYNTHESIS OF FORECAST CHARACTERISTICS OF COMPLEX TECHNICAL SYSTEM BY TIME SERIES
title_full_unstemmed STATISTICAL SYNTHESIS OF FORECAST CHARACTERISTICS OF COMPLEX TECHNICAL SYSTEM BY TIME SERIES
title_short STATISTICAL SYNTHESIS OF FORECAST CHARACTERISTICS OF COMPLEX TECHNICAL SYSTEM BY TIME SERIES
title_sort statistical synthesis of forecast characteristics of complex technical system by time series
topic forecast
trend
statistical synthesis inverse functions
trigonometric polynomials
time series
url https://avia.mstuca.ru/jour/article/view/188
work_keys_str_mv AT nasevercev statisticalsynthesisofforecastcharacteristicsofcomplextechnicalsystembytimeseries
AT vmbalick statisticalsynthesisofforecastcharacteristicsofcomplextechnicalsystembytimeseries
AT evbalick statisticalsynthesisofforecastcharacteristicsofcomplextechnicalsystembytimeseries