Proceedings of the 2018 2nd International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2018)

Analysis of Port Handing Capacity Based on X11-ARIMA Model

Authors
Lixin Zhang, Cuifang Yang, Zhenqi Fan
Corresponding Author
Lixin Zhang
Available Online May 2018.
DOI
10.2991/ammsa-18.2018.38How to use a DOI?
Keywords
port handing capacity; long-term trend; sequence
Abstract

The analysis of port handing capacity is of great significance to the construction and planning of the port. Using the data of the last 12 years, X11 method is used to separate the long-term trend. The results show that the port handing capacity tends to increase linearly. We use difference method to eliminate the effect of the long-term trend and the seasonal effect, choose ARIMA model to fit the development of the sequence after repeated attempts. With these data that from May to August in 2017 as the comparison sample,the model predicted the data very precisely.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2018 2nd International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2018)
Series
Advances in Intelligent Systems Research
Publication Date
May 2018
ISBN
978-94-6252-529-0
ISSN
1951-6851
DOI
10.2991/ammsa-18.2018.38How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Lixin Zhang
AU  - Cuifang Yang
AU  - Zhenqi Fan
PY  - 2018/05
DA  - 2018/05
TI  - Analysis of Port Handing Capacity Based on X11-ARIMA Model
BT  - Proceedings of the 2018 2nd International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2018)
PB  - Atlantis Press
SP  - 190
EP  - 193
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-18.2018.38
DO  - 10.2991/ammsa-18.2018.38
ID  - Zhang2018/05
ER  -