This master thesis compares the forecasting ability of Transfer function models and ARIMAX-models on monthly groundwater-level data from Sweden. The results are also compared to findings from earlier reports on the same data but with different models. Precipitation and the four seasons are used as covariates when fitting the models. Performance of the models were evaluated by fitting the models to the data excluding the last three years and, then, comparing the forecasts to the observations.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-471059 |
| Date | January 2022 |
| Creators | Freyland, Sara |
| Publisher | Uppsala universitet, Statistik, AI och data science |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | U.U.D.M. project report ; 2022:10 |
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