Regression analysis of compositional data when both the dependent variable and independent variable are components
dc.contributor.author
dc.contributor.editor
dc.date.accessioned
2008-05-09T10:37:01Z
dc.date.available
2008-05-09T10:37:01Z
dc.date.issued
2005-10
dc.identifier.citation
Ark, L.A. 'Regression analysis of compositional data when both the dependent variable and independent variable are components' a CODAWORK’05. Girona: La Universitat, 2005 [consulta: 9 maig 2008]. Necessita Adobe Acrobat. Disponible a Internet a: http://hdl.handle.net/10256/702
dc.identifier.isbn
84-8458-222-1
dc.identifier.uri
dc.description.abstract
It is well known that regression analyses involving compositional data need special attention because the data are not of full rank. For a regression analysis where both the dependent and independent variable are components we propose a transformation of the components emphasizing their role as dependent and independent variables. A simple linear regression can be performed on the transformed components. The regression line can be depicted in a ternary diagram facilitating the interpretation of the analysis in terms of components. An exemple with time-budgets illustrates the method and the graphical features
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
Regression analysis of compositional data when both the dependent variable and independent variable are components
dc.type
info:eu-repo/semantics/conferenceObject
dc.rights.accessRights
info:eu-repo/semantics/openAccess