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Generalising about univariate forecasting methods: further empirical evidence*

* This paper has been replicated

Author

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  • Fildes, Robert
  • Hibon, Michele
  • Makridakis, Spyros
  • Meade, Nigel

Abstract

No abstract is available for this item.

Suggested Citation

  • Fildes, Robert & Hibon, Michele & Makridakis, Spyros & Meade, Nigel, 1998. "Generalising about univariate forecasting methods: further empirical evidence," International Journal of Forecasting, Elsevier, vol. 14(3), pages 339-358, September.
    • Handle: RePEc:eee:intfor:v:14:y:1998:i:3:p:339-358
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    References listed on IDEAS

    as
    1. Everette S. Gardner, Jr. & Ed. Mckenzie, 1985. "Forecasting Trends in Time Series," Management Science, INFORMS, vol. 31(10), pages 1237-1246, October.
    2. Geurts, Michael D. & Patrick Kelly, J., 1986. "Forecasting retail sales using alternative models," International Journal of Forecasting, Elsevier, vol. 2(3), pages 261-272.
    3. Clemen, Robert T., 1989. "Combining forecasts: A review and annotated bibliography," International Journal of Forecasting, Elsevier, vol. 5(4), pages 559-583.
    4. Spyros Makridakis & Robert L. Winkler, 1983. "Averages of Forecasts: Some Empirical Results," Management Science, INFORMS, vol. 29(9), pages 987-996, September.
    5. Chatfield, Chris, 1992. "A commentary on error measures," International Journal of Forecasting, Elsevier, vol. 8(1), pages 100-102, June.
    6. Simmons, LeRoy F., 1986. "M-competition -- A closer look at NAIVE2 and median APE : A note," International Journal of Forecasting, Elsevier, vol. 2(4), pages 457-459.
    7. Tashman, Leonard J. & Kruk, Joshua M., 1996. "The use of protocols to select exponential smoothing procedures: A reconsideration of forecasting competitions," International Journal of Forecasting, Elsevier, vol. 12(2), pages 235-253, June.
    8. Armstrong, J. Scott & Collopy, Fred, 1992. "Error measures for generalizing about forecasting methods: Empirical comparisons," International Journal of Forecasting, Elsevier, vol. 8(1), pages 69-80, June.
    9. Grambsch, Patricia & Stahel, Werner A., 1990. "Forecasting demand for special telephone services: A case study," International Journal of Forecasting, Elsevier, vol. 6(1), pages 53-64.
    10. Koehler, Anne B. & Murphree, Emily S., 1988. "A comparison of results from state space forecasting with forecasts from the Makridakis Competition," International Journal of Forecasting, Elsevier, vol. 4(1), pages 45-55.
    11. Ledolter, Johannes, 1989. "The effect of additive outliers on the forecasts from ARIMA models," International Journal of Forecasting, Elsevier, vol. 5(2), pages 231-240.
    12. Meade, Nigel & Smith, Ian Md, 1985. "ARARMA vs ARIMA--A study of the benefits of a new approach to forecasting," Omega, Elsevier, vol. 13(6), pages 519-534.
    13. Fildes, Robert, 1992. "The evaluation of extrapolative forecasting methods," International Journal of Forecasting, Elsevier, vol. 8(1), pages 81-98, June.
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    Replication

    This item has been replicated by:
  • Gardner Jr., Everette S. & Diaz-Saiz, Joaquin, 2008. "Exponential smoothing in the telecommunications data," International Journal of Forecasting, Elsevier, vol. 24(1), pages 170-174.

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