Forecasting Container Throughputs with Domain Knowledge
Author:
Publisher
Elsevier BV
Subject
General Engineering
Reference18 articles.
1. Xiao, Y., Xiao, J., Wang, S.Y., 2012. A hybrid forecasting model for non-Stationary time series: An application to container throughput prediction. International Journal of Knowledge and Systems Science 3 (2), p. 67-82.
2. Armstrong, S., Collopy, F., Thomas, Y.J., 2005. Decomposition by causal forces: a procedure for forecasting complex time series International Journal of Forecasting 21, p. 25-36.
3. Richard, W., OConnor, M., 1996. Judgemental and statistical time series forecasting: A review of the literature. International Journal of Forecasting 12 (1), p. 91-118.
4. Sanders, N.R., Manrodt, K.B., 2003. The effcacy of using judgmental versus quantitative forecasting methods in practice. Omega 31, 511-522.
5. Fildes, R., Stekler, H., 2002. The state of macroeconomic forecasting. Journal of Macroeconomics 24 (4), p. 435-468.
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