In the context of time series, _______ refers to a model used for forecasting when data shows evidence of non-stationarity.
- ARIMA
- Exponential Smoothing
- Nonlinear Model
- Stationary Model
ARIMA (AutoRegressive Integrated Moving Average) models are suitable for forecasting when time series data exhibit non-stationarity, meaning the statistical properties change over time. ARIMA models involve differencing the series to achieve stationarity.
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