Quantile estimation of the rejection distribution of food products integrating assessor values and interval-censored consumer data

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RECERCAT Home > Universitat Politècnica de Catalunya > Documents de recerca > View document

To access the full text documents, please follow this link: http://hdl.handle.net/2117/21334

Title:	Quantile estimation of the rejection distribution of food products integrating assessor values and interval-censored consumer data
Author:	Langohr, Klaus; Gómez Melis, Guadalupe; Hough, Guillermo
Other authors:	Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa; Universitat Politècnica de Catalunya. GREMA - Grup de Recerca en Estadística Matemàtica i les seves Aplicacions
Abstract:	Fitting 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.
Abstract:	Peer Reviewed
Subject(s):	-Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica::Inferència estadística -Survival analysis (Biometry) -Mathematical statistics -Interval-censored data -maximization of the likelihood function -parametric survival model -sensory shelf-life data. -Estadística -62N Survival analysis and censored data -62F Parametric inference
Rights:	Attribution-NonCommercial-NoDerivs 3.0 Spain http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Document type:	Article - Published version Article
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