Прогнозування часових рядів за допомогою їхньої сегментації на основі аналізу вейвлет-скалограм

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... View More