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Coastal water level prediction: a comparative study of statistical and machine learning techniques for time series forecasting
Time series analysis provides powerful tools for predicting future trends, outcomes, and events. The application of these tools to coastal water level forecasting generates insightful predictions for operational use in flood management, as well as a deeper understanding of the influencing factors. M...
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| Format: | Thesis |
| Language: | English English |
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Department of Statistical Sciences
2026
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