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Empirical Bayes methods for telecommunications forecasting

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  • Greis, Noel P.
  • Gilstein, C. Zachary

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  • Greis, Noel P. & Gilstein, C. Zachary, 1991. "Empirical Bayes methods for telecommunications forecasting," International Journal of Forecasting, Elsevier, vol. 7(2), pages 183-197, August.
    • Handle: RePEc:eee:intfor:v:7:y:1991:i:2:p:183-197
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    Cited by:

    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. Fildes, Robert & Kumar, V., 2002. "Telecommunications demand forecasting--a review," International Journal of Forecasting, Elsevier, vol. 18(4), pages 489-522.
    3. Stroud, T. W. F. & Sykes, Alan M. & Witt, Stephen F., 1998. "Forecasting a collection of binomial proportions in the presence of covariates," International Journal of Forecasting, Elsevier, vol. 14(1), pages 5-15, March.
    4. Miller, Don M. & Williams, Dan, 2004. "Damping seasonal factors: Shrinkage estimators for the X-12-ARIMA program," International Journal of Forecasting, Elsevier, vol. 20(4), pages 529-549.
    5. Miller, Don M. & Williams, Dan, 2003. "Shrinkage estimators of time series seasonal factors and their effect on forecasting accuracy," International Journal of Forecasting, Elsevier, vol. 19(4), pages 669-684.
    6. Reason Lesego Machete, 2011. "Early Warning with Calibrated and Sharper Probabilistic Forecasts," Papers 1112.6390, arXiv.org, revised Jan 2012.
    7. Ord, Keith, 2004. "Shrinking: When and how?," International Journal of Forecasting, Elsevier, vol. 20(4), pages 567-568.
    8. Lu, Emiao & Handl, Julia & Xu, Dong-ling, 2018. "Determining analogies based on the integration of multiple information sources," International Journal of Forecasting, Elsevier, vol. 34(3), pages 507-528.
    9. Pritularga, Kandrika F. & Svetunkov, Ivan & Kourentzes, Nikolaos, 2023. "Shrinkage estimator for exponential smoothing models," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1351-1365.

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