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Robust morphometric analysis based on landmarks

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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.issued2018-03-01
dc.description.abstractProcrustes Analysis is a Morphometric method based on Configurations of Landmarks that estimates the superimposition parameters by least-squares; for this reason, the procedure is very sensitive to outliers. There are classical results, based on the normality of the observations, to test whether there are significant differences between individuals. In this paper we determine a Von Mises plus Saddlepoint approximation for the tail probability (p-value) of this test for the Procrustes Statistic, when the observations come from a model close to the normal.en
dc.description.versionversión publicada
dc.identifier.doihttps://doi.org/10.1007/978-3-319-73848-2_16
dc.identifier.isbnPrint: 978-3-319-73847-5; Online: 978-3-319-73848-2
dc.identifier.urihttps://hdl.handle.net/20.500.14468/15444
dc.language.isoen
dc.publisherSpringer
dc.relation.centerFacultad de Ciencias
dc.relation.departmentEstadística, Investigación Operativa y Cálculo Numérico
dc.rightsAtribución-NoComercial-SinDerivadas 4.0 Internacional
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subject.keywordsProcrustes Statistics
dc.subject.keywordsSaddlepoint Approximation
dc.subject.keywordsProcrustes Analysis
dc.subject.keywordsCompute Tail Probabilities
dc.subject.keywordsLandmark Coordinates
dc.titleRobust morphometric analysis based on landmarkses
dc.typecapítulo de libroes
dc.typebook parten
dspace.entity.typePublication
relation.isAuthorOfPublicationf1b6d45c-9238-4c82-8f82-ccdb82bd6cd7
relation.isAuthorOfPublication.latestForDiscoveryf1b6d45c-9238-4c82-8f82-ccdb82bd6cd7
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