DUGiDocsWeighted Logratio Biplots, Correspondence Analysis and Spectral Maps
dc.contributor.author
dc.contributor.editor
dc.date.accessioned
2008-05-05T07:36:29Z
dc.date.available
2008-05-05T07:36:29Z
dc.date.issued
2005-10
dc.identifier.citation
Greenacre, M.J.; Lewi, P. 'Weighted Logratio Biplots, Correspondence Analysis and Spectral Maps' a CODAWORK’05. Girona: La Universitat, 2005 [consulta: abril 2008]. Necessita Adobe Acrobat. Disponible a Internet a:http://hdl.handle.net/10256/664
dc.identifier.isbn
84-8458-222-1
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dc.description.abstract
Starting with logratio biplots for compositional data, which are based on the principle of subcompositional coherence, and then adding weights, as in correspondence analysis, we rediscover Lewi's spectral map and many connections to analyses of two-way tables of non-negative data. Thanks to the weighting, the method also achieves the property of distributional equivalence
dc.description.sponsorship
Geologische Vereinigung; 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; Càtedra Lluís Santaló d’Aplicacions de la Matemàtica; Consell Social de la Universitat de Girona; Ministerio de Ciencia i Tecnología.
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
Weighted Logratio Biplots, Correspondence Analysis and Spectral Maps
dc.type
info:eu-repo/semantics/conferenceObject
dc.rights.accessRights
info:eu-repo/semantics/openAccess