DUGiDocsCompositional data analysis in archaeometry
dc.contributor.author
dc.contributor.editor
dc.date.accessioned
2008-05-05T10:04:31Z
dc.date.available
2008-05-05T10:04:31Z
dc.date.issued
2003-10-16
dc.identifier.citation
Baxter, M.J.; Beardah, C.C.; Cool, H.E.M.; Jackson, C.M. 'Compositional data analysis in archaeometry' a CODAWORK’03. Girona: La Universitat, 2003 [consulta: 5 maig 2008]. Necessita Adobe Acrobat. Disponible a Internet a:http://hdl.handle.net/10256/671
dc.identifier.isbn
84-8458-111-X
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dc.description.abstract
We shall call an n × p data matrix fully-compositional if the rows sum to a constant, and sub-compositional if the variables are a subset of a fully-compositional data set1. Such data occur widely in archaeometry, where it is common to determine the chemical composition of ceramic, glass, metal or other artefacts using techniques such as neutron activation analysis (NAA), inductively coupled plasma spectroscopy (ICPS), X-ray fluorescence analysis (XRF) etc. Interest often centres on whether there are distinct chemical groups within the data and whether, for example, these can be associated with different origins or manufacturing technologies
dc.description.sponsorship
Geologische Vereinigung; Universitat de Barcelona, Equip de Recerca Arqueomètrica; Institut d’Estadística de Catalunya; International Association for Mathematical Geology; Patronat de l’Escola Politècnica Superior de la Universitat de Girona; Fundació privada: Girona, Universitat i Futur.
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada
dc.rights
Tots els drets reservats
dc.subject
dc.title
Compositional data analysis in archaeometry
dc.type
info:eu-repo/semantics/conferenceObject
dc.rights.accessRights
info:eu-repo/semantics/openAccess