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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| Date: | 2016 |
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| Main Authors: | , |
| Format: | Article |
| Language: | Ukrainian |
| Published: |
Інститут проблем реєстрації інформації НАН України
2016
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| Subjects: | |
| Online Access: | http://drsp.ipri.kiev.ua/article/view/100343 |
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| Journal Title: | Data Recording, Storage & Processing |