Publicación: Trimmed spatio-temporal variogram estimator
| dc.contributor.author | García Pérez, Alfonso | |
| dc.date.accessioned | 2024-05-20T18:48:42Z | |
| dc.date.available | 2024-05-20T18:48:42Z | |
| dc.date.issued | 2022-08-25 | |
| dc.description.abstract | The spatio-temporal variogram is the key element in spatiotemporal prediction based on kriging, but the classical estimator of this parameter is very sensitive to outliers. In this contributed paper we propose a trimmed estimator of the spatio-temporal variogram as a robust estimator. We obtain an accurate approximation of its distribution with small samples sizes and a scale contaminated normal model.We conclude with an example with real data. | en |
| dc.description.version | versión publicada | |
| dc.identifier.doi | https://doi.org/10.1007/978-3-031-15509-3_23 | |
| dc.identifier.isbn | Print: 978-3-031-15508-6, Online: 978-3-031-15509-3 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14468/15446 | |
| dc.language.iso | en | |
| dc.publisher | Springer | |
| dc.relation.center | Facultad de Ciencias | |
| dc.relation.department | Estadística, Investigación Operativa y Cálculo Numérico | |
| dc.rights | Atribución-NoComercial-SinDerivadas 4.0 Internacional | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0 | |
| dc.title | Trimmed spatio-temporal variogram estimator | es |
| dc.type | capítulo de libro | es |
| dc.type | book part | en |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | f1b6d45c-9238-4c82-8f82-ccdb82bd6cd7 | |
| relation.isAuthorOfPublication.latestForDiscovery | f1b6d45c-9238-4c82-8f82-ccdb82bd6cd7 |