A comparison of time series methods for forecasting container throughput-Reference-Cited by-同舟云学术

A comparison of time series methods for forecasting container throughput

Published:2018-09-22 Issue:3 Volume:22 Page:294-303
ISSN:1367-5567
Container-title:International Journal of Logistics Research and Applications
language:en
Short-container-title:International Journal of Logistics Research and Applications

Author:

Chan Hing Kai¹,Xu Shuojiang¹²,Qi Xiaoguang³⁴

Affiliation:

1. Nottingham University Business School China, University of Nottingham Ningbo China, Ningbo, People’s Republic of China

2. International Doctoral Innovation Centre, University of Nottingham Ningbo China, Ningbo, People’s Republic of China

3. Wolfson College, University of Cambridge, Cambridge, UK

4. Business School, Anshan Normal University, Anshan, People’s Republic of China

Funder

Ningbo Science and Technology Bureau

Ningbo Education Bureau

University of Nottingham

Engineering and Physical Sciences Research Council

Publisher

Informa UK Limited

Subject

Management Science and Operations Research,Management Information Systems,Business and International Management,Strategy and Management,Management of Technology and Innovation

Link

https://www.tandfonline.com/doi/pdf/10.1080/13675567.2018.1525342

Reference44 articles.

1. Forecasting monthly electric energy consumption in eastern Saudi Arabia using univariate time-series analysis

2. Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia

3. A novel approach to independent taxi scheduling problem based on stable matching

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