TSA-TD-Decomposition
Decomposition is a technique used to separate a time series into several distinct components, making it easier to understand and model the underlying patterns. The main components typically include:
Decomposition helps in understanding the underlying structure of the time series data by isolating these components, which can then be analyzed separately. This is particularly useful for forecasting and identifying the different influences on the data. There are two main types of decomposition:
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