Sensometrics methods for descriptive analysis and sorting task. Two applications

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dc.contributor	Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.contributor	Bécue Bertaut, Mónica María
dc.contributor.author	Miranda, Karen
dc.date	2013-02
dc.identifier.uri	http://hdl.handle.net/2099.1/18158
dc.language.iso	eng
dc.publisher	Universitat Politècnica de Catalunya
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
dc.subject	Mathematical statistics
dc.subject	Sensory Analysis
dc.subject	sorting task
dc.subject	categorization
dc.subject	Variance Analysis
dc.subject	Principal components
dc.subject	Confidence Ellipses
dc.subject	Panel Performance
dc.subject	Hotteling t2Test.
dc.subject	Estadística matemàtica--Aplicacions
dc.subject	Classificació AMS::62 Statistics::62P Applications
dc.title	Sensometrics methods for descriptive analysis and sorting task. Two applications
dc.type	info:eu-repo/semantics/masterThesis
dc.description.abstract	We have presented the results obtained through two sensory methods that are descriptive analysis and categorization. Several statistical methods have been applied to analyze the results: ANOVA; PCA, MCA and MFA.. Sensometrics methods for descriptive analysis and sorting task have to be applied in two cases related to food and beverage industries