DUGiDocsalr approach for replacing values below the detection limit
dc.contributor.author
dc.contributor.editor
dc.date.accessioned
2008-05-05T09:26:06Z
dc.date.available
2008-05-05T09:26:06Z
dc.date.issued
2005-10
dc.identifier.citation
Palarea Albadalejo, J.; Martín fernández, J.A.; Gómez García, J. 'alr approach for replacing values below the detection limit' a CODAWORK’05. Girona: La Universitat, 2005 [consulta: 5 maig 2008]. Necessita Adobe Acrobat. Disponible a Internet a:http://hdl.handle.net/10256/667
dc.identifier.isbn
84-8458-222-1
dc.identifier.uri
dc.description.abstract
All of the imputation techniques usually applied for replacing values below the
detection limit in compositional data sets have adverse effects on the variability. In this
work we propose a modification of the EM algorithm that is applied using the additive
log-ratio transformation. This new strategy is applied to a compositional data set and the
results are compared with the usual imputation techniques
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
alr approach for replacing values below the detection limit
dc.type
info:eu-repo/semantics/conferenceObject
dc.rights.accessRights
info:eu-repo/semantics/openAccess