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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Format: | Article |
Language: | Russian |
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Moscow State Technical University of Civil Aviation
2016-11-01
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Series: | Научный вестник МГТУ ГА |
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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. |
format | Article |
id | doaj-art-9ef83e2f0acb44c4928d7e9775fb76b6 |
institution | Matheson Library |
issn | 2079-0619 2542-0119 |
language | Russian |
publishDate | 2016-11-01 |
publisher | Moscow State Technical University of Civil Aviation |
record_format | Article |
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 |