9.3 Time series analysis
To evaluate the evolution of the phenomenon in time
Time series data can show different characteristics, such as:
- trend
- seasonality
- cyclic patterns
- irregular fluctuations
evaluation methods:
- decomposition:
- trend
- seasonality
- random fluctuations
- smoothing:
- moving average
- exponential smoothing
- modelling:
- ARIMA
- Mixed models