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How to use aggregation and combined forecasting to improve seasonal demand forecasts

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  • Dekker, Mark
  • van Donselaar, Karel
  • Ouwehand, Pim

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  • Dekker, Mark & van Donselaar, Karel & Ouwehand, Pim, 2004. "How to use aggregation and combined forecasting to improve seasonal demand forecasts," International Journal of Production Economics, Elsevier, vol. 90(2), pages 151-167, July.
    • Handle: RePEc:eee:proeco:v:90:y:2004:i:2:p:151-167
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    References listed on IDEAS

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    1. Bunn, Derek W. & Vassilopoulos, Angelos I., 1999. "Comparison of seasonal estimation methods in multi-item short-term forecasting," International Journal of Forecasting, Elsevier, vol. 15(4), pages 431-443, October.
    2. Withycombe, Richard, 1989. "Forecasting with combined seasonal indices," International Journal of Forecasting, Elsevier, vol. 5(4), pages 547-552.
    3. Canova, Fabio, 1993. "Forecasting time series with common seasonal patterns," Journal of Econometrics, Elsevier, vol. 55(1-2), pages 173-200.
    4. Ord, Keith & Hibon, Michele & Makridakis, Spyros, 2000. "The M3-Competition1," International Journal of Forecasting, Elsevier, vol. 16(4), pages 433-436.
    5. Weiss, Andrew A., 1984. "Systematic sampling and temporal aggregation in time series models," Journal of Econometrics, Elsevier, vol. 26(3), pages 271-281, December.
    6. Bunn, Derek W. & Vassilopoulos, A. I., 1993. "Using group seasonal indices in multi-item short-term forecasting," International Journal of Forecasting, Elsevier, vol. 9(4), pages 517-526, December.
    7. Raveh, Adi & Tapiero, Charles S., 1980. "Finding common seasonal patterns among time series : An MDS approach," Journal of Econometrics, Elsevier, vol. 12(3), pages 353-363, April.
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