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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Bibliographische Detailangaben
Datum:2016
Hauptverfasser: Voloshko, A. V., Muzyka, N. Yu.
Format: Artikel
Sprache:Ukrainian
Veröffentlicht: 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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Data Recording, Storage & Processing