Compositional data analysis: where we are and where should we be heading?
dc.contributor.author
dc.contributor.editor
dc.date.accessioned
2008-05-02T07:43:29Z
dc.date.available
2008-05-02T07:43:29Z
dc.date.issued
2003-10-15
dc.identifier.citation
Aitchison, J. 'Compositional data analysis' a CODAWORK’03. Girona: La Universitat, 2003 [consulta: 2 maig 2008]. Necessita Adobe Acrobat. Disponible a Internet a: http://hdl.handle.net/10256/647
dc.identifier.isbn
84-8458-111-X
dc.identifier.uri
dc.description.abstract
We take stock of the present position of compositional data analysis, of what has been
achieved in the last 20 years, and then make suggestions as to what may be sensible
avenues of future research. We take an uncompromisingly applied mathematical view,
that the challenge of solving practical problems should motivate our theoretical
research; and that any new theory should be thoroughly investigated to see if it may
provide answers to previously abandoned practical considerations. Indeed a main theme
of this lecture will be to demonstrate this applied mathematical approach by a number of
challenging examples
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: where we are and where should we be heading?
dc.type
info:eu-repo/semantics/conferenceObject
dc.rights.accessRights
info:eu-repo/semantics/openAccess