The forecast horizon for a cross-impact analysis method is medium-term.
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Q5: Both measures of forecast accuracy, MAD and
Q6: Seasonal adjustment involves the deseasonalization of data
Q7: Subjective models are used to assess the
Q8: Most forecasting models assume that the underlying
Q9: Both trend and seasonal adjustments can augment
Q11: Because of the nontangible nature of service,
Q12: The trade-off to be made with respect
Q13: In the Delphi method, the opinions of
Q14: Historical analogy involves comparative analysis of the
Q15: The main advantage that simple moving-average models
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