Abraham, B. and Ledolter, J. (1983). Statistical methods for forecasting.
New York: John Wiley and Sons.
Armstrong, J. S. and Collopy, F. (1992). Error measures for generalizing
about forecasting methods: Empirical comparisons. International Journal of
Forecasting, 8 (1): 69-80.
Armstrong, J. S. and Collopy, F. (1993). Causal forces: Structuring
knowledge for time series extrapolation. Journal of Forecasting, 12 (2): 103-115.
Brown, R. G. (1959). Statistical Smoothing for inventory control. New
York: McGraw-Hill.
Brown, R. G. (1964). Smoothing, forecasting and prediction of discrete
time series. NJ: Prentice-Hall.
Clemen, R. T. (1989). Combining forecasts: A review and annotated
bibliography. International Journal of Forecasting, 5 (4): 559-583.
Cohen, G. D. (1966). Bayesian adjustment of sales forecasts in multi-item
inventory control system. Journal of Industrial Engineering, 17: 474-479.
Fildes, R., Hibon, M., Makridakis, S. and Meade, N. (1998). Generalising
about univariate forecasting methods: Further empirical evidence. International
Journal of Forecasting, 14 (3): 339-358.
Gardner, Jr. E. S. (1985). Exponential smoothing: The state of the art.
Journal of Forecasting, 4 (1): 1-28.
Gardner, Jr. E. S. (2006). Exponential smoothing: The state of the art - Part
II. International Journal of Forecasting, 22 (4): 637-666.
Gass, S. I. and Harris, C. M. (Eds.) (2000). Encyclopedia of operations
research and management science. Dordrecht: Kluwer Academic Publishers.
Geurts, M. D. and Kelly, J. P. (1986). Forecasting retail sales using
alternative models. International Journal of Forecasting, 2 (3): 261-272.Hill, G. and Fildes, R. (1984). The accuracy of extrapolation methods: An
automatic Box–Jenkins package SIFT. Journal of Forecasting, 3 (3): 319-323.
Holt, C. C. (1957). Forecasting seasonals and trends by exponentially
weighted moving averages, ONR Memorandum. Pitssburgh, PA: Carnegie Institute
of Technology.
Holt, C. C, Modigliani, F., Muth, J. F. and Simon, H. (1969). Planning
production, inventories, and the work force. NJ: Prentice Hall.
Johnson, L. A. and Montgomery, D. C. (1974). Operations research in
production planning, scheduling, and inventory control. New York: Wiley.
Koehler, A. B. and Murphree, E. S. (1988). A comparison of results from
state space forecasting with forecasts from the Makridakis competition.
International Journal of Forecasting, 4 (1): 45-55.
Ledolter, J. and Abraham, B. (1984). Some comments on the initialization
of exponential smoothing. Journal of Forecasting, 3 (1): 79-84.
Lusk, E. J. and Neves, J. S. (1984). A comparative ARIMA analysis of the
111 series of the Makridakis competition. Journal of Forecasting, 3 (3): 329-332.
Makridakis, S., Hibon, M. and Moser, C. (1979). Accuracy of forecasting:
An empirical investigation. Journal of the Royal Statistical Society: Series A
(General), 142 (2): 97-145.
Makridakis, S., Andersen A., Carbone R., Fildes, R., Hibon, M.,
Lewandowski, R., Newton, J., Parzen, E. and Winkler, R. (1982). The Accuracy of
extrapolation (time series) methods: Results of a forecasting competition. Journal
of Forecasting, 1 (2): 111-153.
Pegels, C. C. (1969). Exponential forecasting: Some new variations.
Management Science. 15 (5): 311-315.
Roberts, S. A. (1982). A general class of Holt–Winters type forecasting
models. Management Science, 28 (7): 808-820.
Taylor, S. G. (1981). Initialization of exponential smoothing forecasts.
AIIE Transactions, 13 (3): 199-205.
Winters, P. R. (1960). Forecasting sales by exponentially weighted moving
averages. Management Science. 6 (3): 324-342.
Xie, M., Hong, G. Y. and Wohlin, C. (1997) A study of the exponential
smoothing technique in software reliability growth prediction. Quality and
Reliability Engineering International, 13 (6): 347-353.
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