An advantage of the exponential smoothing forecasting method is that more recent experience is given more weight than less recent experience.
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Q14: The mean absolute deviation is more sensitive
Q15: Removing the seasonal component from a time-series
Q16: The seasonal factor for any period of
Q17: The moving-average forecasting method is a very
Q18: Exponential smoothing with trend requires selection of
Q20: The last-value forecasting method is most useful
Q21: The Delphi method involves the use of
Q22: Forecasting techniques such as moving-average, exponential smoothing,
Q23: If a time-series has exactly the same
Q24: Judgmental forecasting methods have been developed to
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