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Comparing models to forecast cargo volume at port terminals
Economic growth has a direct link with the volume of cargo at port terminals. To encourage growth, investment decisions on infrastructure are required that can be performed by the development of econometric models. We compare three time-series models and one machine-learning model to estimate and fo...
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| Veröffentlicht in: | Journal of Applied Research and Technology |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Universidad Nacional Autónoma de México
2021
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| Schlagworte: | |
| Online Zugang: | https://www.redalyc.org/articulo.oa?id=47471685007 |
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