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Analyse statistique d'évaluations sensorielles au cours du temps

Abstract : Sensory analysis of food products is most often based on scores given by panellists according to a list of descriptors that characterize the products. A statistical method for analyzing sensory profiling data obtained by means of fixed vocabulary is discussed. It consists in a procedure for weighted averaging the data sets associated with the assessors taking account of the extent to which these assessors agree with the general point of view. The method of analysis also provides an overall index of the performance of the panel and performance indices associated with the various assessors.
In conventional sensory profiling, the evaluation focuses on an overall assessment and does not reflect the dynamic process of the sensory perception in the course of time. This is the reason why Time Intensity (TI) curves are becoming more and more popular notwithstanding the poor performance of the assessors and the tricky statistical issues these curves pose. In particular, a common feature of the TI curves is that each assessor tends to generate a characteristic shape, called 'subject signature'. The functional approach adopted herein is specifically based on the identification and the correction of the 'signature' effect of the assessors by adjusting the individual curves. The cornerstones of the method are the use of the projection upon a B-spline basis and alignment procedures.
Other sensory analysis over time exist such as the study of the decay of organoleptic perception of the products. We propose to use Markov chains and Hidden Markov chains to model this decay and focus on the graphical comparison of the evolution of several products.
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Contributor : Stéphanie Ledauphin <>
Submitted on : Tuesday, April 3, 2007 - 5:49:56 PM
Last modification on : Tuesday, March 17, 2020 - 3:03:20 AM
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  • HAL Id : tel-00139887, version 1



Stéphanie Ledauphin. Analyse statistique d'évaluations sensorielles au cours du temps. Mathématiques [math]. Université de Nantes, 2007. Français. ⟨tel-00139887⟩



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