Noncausal forecasting models are purely time series models in the sense that the forecasts are made based only on historical data concerning the variable of interest.
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Q1: The cyclical component of a time series
Q2: The exponential smoothing method weighs all available
Q4: Causal forecasting models are based on a
Q5: When the exponential trend model is used
Q6: The moving average method is one of
Q7: In forecasting methods, the mean square error
Q8: The centered moving average (CMA), applied in
Q9: Smoothing techniques are suitable for use when
Q10: Although we use the MSE to compare
Q11: Ideally, the chosen model is best in
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