For many time series, trends and cyclical fluctuations dominate the stationary part. The main cyclical components can be identified by spectral analysis. Trends and seasonals can either be incorporated explicitly in the model or they can be removed by filtering the data.
KeywordsWhite Noise Gaussian White Noise Discrete Fourier Transform Cyclical Process Cyclical Component
Unable to display preview. Download preview PDF.