References
- Box, G. E. P., G. M. Jenkins and G. C. Reinsel(2008), Time Series Analysis: Forecasting and Control, A John Wiley and Sons Inc., pp. 79-86, pp. 103-113.
- Fujii, Y., M. Tsutomu and H. Kiyosshi(1981), Marine Traffic Engineering, Haemoondang, pp. 12-13, p. 45.
- Kim, J. H., S. G. Gug and M. C. Kim(2006), Estimation on the Future Traffic Volumes and Analysis on Crossing Situation Risk for Gamcheon Harbor, Journal of Korea Navigation and Port Research, Vol. 30, No. 8, pp. 617-622. https://doi.org/10.5394/KINPR.2006.30.8.617
- Kim, J. H., S. G. Gug and S. W. Kim(2007), Estimation on the Future Traffic Volumes and Analysis on Information Value of Tidal Current Singnal in Incheon, Journal of Korea Navigation and Port Research, Vol. 31, No. 6, pp. 456-462. https://doi.org/10.5394/KINPR.2007.31.6.455
- Kim, J. H.(2007), The Estimation of Future Container Ship Traffic for Three Major Ports in Korea, Journal of Korean Navigation and Port Research, Vol. 31, No. 5, pp. 353-359. https://doi.org/10.5394/KINPR.2007.31.5.353
- Kim, J. H.(2008a), The Forecast of the Cargo Transportation and Traffic Volume on Container in Gwangyang Port using Time Series Models, Journal of Navigation and Port Research, Vol. 32, No. 6, pp. 425-431. https://doi.org/10.5394/KINPR.2008.32.6.425
- Kim, J. H.(2008b), The Forecast of the Cargo Transportation for the North Port in Busan using Time Series Models, Journal of Korea Port Economic Association, Vol. 24, No. 2, pp. 1-17.
- Koo, J. Y.(1997), Evaluation of Traffic Congestion in Channels within Harbour Limit, Journal of Port and Harbor Research, Vol. 11, No. 2, pp. 173-189.
- Lee, Y. S. and Y. J. Ahn(2013), A Study on the Standard Ship's Length of Domestic Trade Port, Journal of the Korean Society of Marine Environment & Safety, Vol. 19, No. 2, pp. 164-170. https://doi.org/10.7837/kosomes.2013.19.2.164
- Mo, S. W.(2010), Forecasts of the 2011-BDI Using the ARIMA Type Models, Journal of Korea Port Economic Association, Vol. 26, No. 4, pp. 207-218.
- Mo, S. W.(2012), The Behavioral Analysis of the Trading Volumes of Gwangyang Port: Comparison with Incheon and Pyeongtaek-Dangjin Port, Journal of Korea Port Economic Association, Vol. 28, No. 3, pp. 111-125.
- Mo, S. W.(2013), A Forecast of Shipping Business during the Year of 2013, Journal of Korea Port Economic Association, Vol. 29, No. 1, pp. 67-76.
- Park, S. B., J. W. Kim, S. I. Jeon, C. U. Kim, E. J. Choi, C. H. Lee and Y. S. Heo(2012), An Effective Demand Forecasting and Its Applications, Samsung Economic Research Institute, Reserch Report, pp. 24-26.
- Stein, R. and P. Shaman(1989), A Fixed Point Characterization for Bias of Auto-Regressive Estimators, The Analysis of Statistics, Vol. 17, No. 3, pp. 1275-1284.
- Shin, C. H., J. S. Kang, S. N. Park and J. H. Lee(2008), A Study on the Forecast of Port Traffic using Hybrid ARIMA-Neural Network Model, Journal of Navigation and Port Research, Vol. 32, No. 1, pp. 81-88. https://doi.org/10.5394/KINPR.2008.32.1.081
- Shin, C. H. and S. H. Jeong(2011), A Study on Application of ARIMA and Neural Networks for Time Series Forecasting of Port Traffic, Journal of Navigation and Port Research, Vol. 35, No. 1, pp. 83-91. https://doi.org/10.5394/KINPR.2011.35.1.83
- Yeo, G. T., H. G. Lee, S. M. Soak and C. Y. Lee(1998), A Simulation Study on the Marine Traffic Congestion in Pusan Port, Journal of Port and Harbor Research, Vol. 9, pp. 1-17.
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