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dc.contributor.authorBécue Bertaut, Mónica María
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.identifier.citationBécue, M. Comparison of different panels sorting tasks with hierarchical multiple factor analysis. A: Applied Stochastic Models and Data Analysis. "XIII International Conference ASMDA2009". Vilnius: 2009, p. 274-278.
dc.description.abstractHierarchical multiple factor analysis is a suitable tool for giving account of the evaluation of a same set of items by hierarchically structured sets of individuals. This method is applied to compare trained and non-trained panels in wine hall tests. Every panellist has to categorize the wines in clusters, describe them with free descriptive words and also give a hedonic score. Data coding leads to a wine × individual evaluation table in which the columns present a hierarchical structure. Hierarchical multiple factor analysis allows for exploring and visualizing the observed variability among both wines and panellists. Visualizing tools are also offered to evaluate the similarity between panels and sets of panels.
dc.format.extent5 p.
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica::Anàlisi multivariant
dc.subject.lcshMultivariate analysis
dc.titleComparison of different panels sorting tasks with hierarchical multiple factor analysis
dc.typeConference report
dc.subject.lemacAnàlisi multivariable
dc.contributor.groupUniversitat Politècnica de Catalunya. LIAM - Laboratori de Modelització i Anàlisi de la Informació
dc.subject.amsClassificació AMS::62 Statistics::62H Multivariate analysis
dc.rights.accessOpen Access
dc.description.versionPostprint (author’s final draft)
upcommons.citation.authorBécue, M.
upcommons.citation.contributorApplied Stochastic Models and Data Analysis
upcommons.citation.publicationNameXIII International Conference ASMDA2009

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