Forecasting seasonal container throughput at international ports using SARIMA models
Author:
Publisher
Springer Science and Business Media LLC
Subject
Economics, Econometrics and Finance (miscellaneous),Transportation
Link
http://link.springer.com/article/10.1057/mel.2016.13/fulltext.html
Reference27 articles.
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3. Chase, C. (2013) Demand-Driven Forecasting: A Structured Approach to Forecasting, 2nd edn. New Jersey: John Wiley & Sons.
4. Chen, S.H. and Chen, J.-H. (2010) Forecasting container throughputs at ports using genetic programming. Expert Systems with Applications 37(3): 2054–2058.
5. Chou, C.C., Chu, C.W. and Liang, G.S. (2008) A modified regression model for forecasting the volumes of Taiwan’s import containers. Mathematical and Computer Modelling 47(9): 797–807.
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