Anomaly detection in geostatistical models with application to groundwater level data in the Gaza Coastal Aquifer
In geostatistics, the detection of anomalous observations has a particular importance because of the changes they can create in environmental and geological patterns. Few methods for detecting such observations in univariate data have been proposed for the spatial case, namely sample influence fun...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Prince of Songkla University
2022-12-01
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| Col·lecció: | Songklanakarin Journal of Science and Technology (SJST) |
| Matèries: | |
| Accés en línia: | https://sjst.psu.ac.th/journal/44-6/6.pdf |
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