Time series decomposition and analysis Using Python

#timeseries #decomposition #analysis

The decomposition of time series is a statistical task that deconstructs a time series into several components

Trend component - which reflects the long-term progression of the series - Trend can be positive or negative or both

Seasonal Component - includes cyclical component

Noise or residual - remainder of the time series after the other components have been removed

AR and MA model assumes time series to be stationary and real-world data - they are often
governed by a (deterministic) trend and they might have (deterministic)
cyclical or seasonal components