Ítem
Mateu i Figueras, Glòria
Barceló i Vidal, Carles |
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Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada | |
Graf, Monique | |
octubre 2005 | |
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 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. |
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application/pdf | |
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 | |
84-8458-222-1 | |
http://hdl.handle.net/10256/700 | |
eng | |
Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada | |
Tots els drets reservats | |
Estadística matemàtica
Anàlisi de variància |
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Assessing the Precision of Compositional Data in a Stratified Double Stage Cluster Sample: Application to the Swiss Earnings Structure Survey | |
info:eu-repo/semantics/conferenceObject | |
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