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

All of RECERCAT

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
Abstract:	Fitting parametric survival models with interval-censored data is a common task in survival analysis and implemented in many statistical software packages. Here, we present a novel approach to fit such models if the values on the scale of interest 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 numerical methods. An illustration is provided with a real data set on the rejection of yogurt as a function of its acid taste.
Subject(s):	-Interval-censored data -Maximization of the likelihood function -Parametric survival model -Sensory shelf-life data
Rights:	open access Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. https://creativecommons.org/licenses/by-nc-nd/3.0/
Document type:	Article
Published by:
Share:
Uri:	https://ddd.uab.cat/record/117891