Forecast of time series using their segmentation based on wavelet analysis of scalogram
It is presented a methodological approach in developing models predicting time series which is in application of the properties of frequency-ordered energy coefficients of orthogonal analysis of the levels of wavelet decomposition for to identify long-term trends, seasonal and noise components. Then...
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Datum: | 2016 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | Ukrainian |
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Інститут проблем реєстрації інформації НАН України
2016
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Online Zugang: | http://drsp.ipri.kiev.ua/article/view/100343 |
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Назва журналу: | Data Recording, Storage & Processing |
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