{ "dc.contributor": "Universitat de Girona. Departament d'Informàtica i Matemàtica Aplicada" , "dc.contributor.author": "Graf, Monique" , "dc.contributor.editor": "Mateu i Figueras, Glòria" , "dc.contributor.editor": "Barceló i Vidal, Carles" , "dc.date.accessioned": "2008-05-09T10:04:58Z" , "dc.date.available": "2008-05-09T10:04:58Z" , "dc.date.issued": "2005-10" , "dc.identifier.citation": "Graf, M. 'Assessing the Precision of Compositional Data in a Stratified Double Stage Cluster Sample: Application to the Swiss Earnings Structure Survey' a CODAWORK’05. Girona: La Universitat, 2005 [consulta: maig 2008]. Necessita Adobe Acrobat. Disponible a Internet a: http://hdl.handle.net/10256/700" , "dc.identifier.isbn": "84-8458-222-1" , "dc.identifier.uri": "http://hdl.handle.net/10256/700" , "dc.description.abstract": "Precision of released figures is not only an important quality feature of official statistics, it is also essential for a good understanding of the data. In this paper we show a case study of how precision could be conveyed if the multivariate nature of data has to be taken into account. In the official release of the Swiss earnings structure survey, the total salary is broken down into several wage components. We follow Aitchison's approach for the analysis of compositional data, which is based on logratios of components. We first present diferent multivariate analyses of the compositional data whereby the wage components are broken down by economic activity classes. Then we propose a number of ways to assess precision" , "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": "Estadística matemàtica" , "dc.subject": "Anàlisi de variància" , "dc.title": "Assessing the Precision of Compositional Data in a Stratified Double Stage Cluster Sample: Application to the Swiss Earnings Structure Survey" , "dc.type": "info:eu-repo/semantics/conferenceObject" , "dc.rights.accessRights": "info:eu-repo/semantics/openAccess" }