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dc.contributor.authorLangohr, Klaus
dc.contributor.authorGómez Melis, Guadalupe
dc.contributor.authorHough, Guillermo
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.identifier.citationLangohr, K.; Gomez, G.; Hough, G. Quantile estimation of the rejection distribution of food products integrating assessor values and interval-censored consumer data. "SORT: statistics and operations research transactions", Desembre 2013, vol. 37, núm. 2, p. 175-188.
dc.description.abstractFitting parametric survival models with interval-censore d data is a common task in survival analysis and implemented in many statistical software pack ages. Here, we present a novel approach to fit such models if the values on the scale of intere st are measured with error. Random effects ANOVA models are used to account for the measurement errors and the likelihood function of the parametric survival model is maximized with numerica l methods. An illustration is provided with a real data set on the rejection of yogurt as a function of its acid taste.
dc.format.extent14 p.
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica::Inferència estadística
dc.subject.lcshSurvival analysis (Biometry)
dc.subject.lcshMathematical statistics
dc.subject.otherInterval-censored data
dc.subject.othermaximization of the likelihood function
dc.subject.otherparametric survival model
dc.subject.othersensory shelf-life data.
dc.titleQuantile estimation of the rejection distribution of food products integrating assessor values and interval-censored consumer data
dc.contributor.groupUniversitat Politècnica de Catalunya. GREMA - Grup de Recerca en Estadística Matemàtica i les seves Aplicacions
dc.description.peerreviewedPeer Reviewed
dc.subject.ams62N Survival analysis and censored data
dc.subject.ams62F Parametric inference
dc.rights.accessRestricted access - publisher's policy
dc.description.versionPostprint (published version)
upcommons.citation.authorLangohr, K.; Gomez, G.; Hough, G.
upcommons.citation.publicationNameSORT: statistics and operations research transactions

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