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Variogram model selection

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dc.contributor.authorGarcía Pérez, Alfonso
dc.date.accessioned2024-05-20T18:48:42Z
dc.date.available2024-05-20T18:48:42Z
dc.date.issued2022-06-28
dc.description.abstractA common problem in geostatistics is variogram estimation, in order to choose an acceptable model for kriging. Nevertheless, there is no standard method, first, to test if a particular model can be accepted as valid and, second, to choose among several competing variogram models. The problem is even more complex if, in addition, there are outliers in the data. In this paper we propose to use the distribution of some classical and robust variogram estimators to test, first, the validity of a particular model, accepting it if the p-value of the test, with this particular model as null hypothesis, is large enough and, second, to compare several competing models, choosing the model with the largest p-value among several acceptable models.en
dc.description.versionversión publicada
dc.identifier.doihttps://doi.org/10.1007/978-3-031-04137-2_3
dc.identifier.isbnPrint : 978-3-031-04136-5 Online: 978-3-031-04137-2
dc.identifier.urihttps://hdl.handle.net/20.500.14468/15445
dc.language.isoen
dc.publisherSpringer
dc.relation.centerFacultad de Ciencias
dc.relation.departmentEstadística, Investigación Operativa y Cálculo Numérico
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject.keywordsRobustness
dc.subject.keywordsSpatial data
dc.subject.keywordssaddlepoint approximations
dc.titleVariogram model selectiones
dc.typebook parten
dc.typecapítulo de libroes
dspace.entity.typePublication
relation.isAuthorOfPublicationf1b6d45c-9238-4c82-8f82-ccdb82bd6cd7
relation.isAuthorOfPublication.latestForDiscoveryf1b6d45c-9238-4c82-8f82-ccdb82bd6cd7
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