0000000001279441

AUTHOR

Nadra Mammasse

showing 8 related works from this author

Le nombre de sujets dans les panels d'analyse sensorielle : une approche base de données

2012

The costs associated with sensory evaluation increase with the number of panelists to be enrolled. Classical power computation can be used to derive the minimal number of subjects of a sensory panel in order to control both type I (α risk) and type II (β risk) errors. However, this power computation requires estimates of the size of the product effect to be sought and of the residual variability of the ANOVA model used. Generally, both product effect size and residual variability are difficult to estimate a priori by the sensory analyst. This work offers estimations of these two parameters thanks to the analysis of hundreds descriptive andhedonic studies collected respectively in two databa…

Sensory evaluation[SDV.SA]Life Sciences [q-bio]/Agricultural sciences[ MATH.MATH-GM ] Mathematics [math]/General Mathematics [math.GM][SHS.PSY]Humanities and Social Sciences/Psychology[SHS.PSY] Humanities and Social Sciences/Psychology[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[ SHS.PSY ] Humanities and Social Sciences/Psychology[MATH.MATH-GM]Mathematics [math]/General Mathematics [math.GM]Analyse sensorielle[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]Panel[ MATH.MATH-ST ] Mathematics [math]/Statistics [math.ST][ SDV.SA ] Life Sciences [q-bio]/Agricultural sciences[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
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Le nombre de sujets dans les panels d'analyse sensorielle : une approche base de données

2012

The costs associated with sensory evaluation increase with the number of panelists to be enrolled. Classical power computation can be used to derive the minimal number of subjects of a sensory panel in order to control both type I (α risk) and type II (β risk) errors. However, this power computation requires estimates of the size of the product effect to be sought and of the residual variability of the ANOVA model used. Generally, both product effect size and residual variability are difficult to estimate a priori by the sensory analyst. This work offers estimations of these two parameters thanks to the analysis of hundreds descriptive andhedonic studies collected respectively in two databa…

[SDV.SA]Life Sciences [q-bio]/Agricultural sciencesSensory evaluation[SDV.SA] Life Sciences [q-bio]/Agricultural sciences[ MATH.MATH-GM ] Mathematics [math]/General Mathematics [math.GM][SHS.PSY]Humanities and Social Sciences/Psychology[MATH.MATH-GM] Mathematics [math]/General Mathematics [math.GM][SHS.PSY] Humanities and Social Sciences/Psychology[ SHS.PSY ] Humanities and Social Sciences/Psychology[MATH.MATH-GM]Mathematics [math]/General Mathematics [math.GM][MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]Analyse sensoriellePanel[ MATH.MATH-ST ] Mathematics [math]/Statistics [math.ST][MATH.MATH-ST] Mathematics [math]/Statistics [math.ST][ SDV.SA ] Life Sciences [q-bio]/Agricultural sciences
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Panels de consommateurs : quel effectif interroger ?

2013

Dossier technique ; Enils = Ecoles Nationales de l'Industrie Laitière; National audience

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutrition[SDV.AEN]Life Sciences [q-bio]/Food and NutritionComputingMilieux_MISCELLANEOUS
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Choosing the right panel size for a descriptive or for an hedonic sensory study based on knowledge gained from two sensory databases

2012

Choosing the right panel size for a descriptive or for an hedonic sensory study based on knowledge gained from two sensory databases. 5. european conference on Sensory consumer science of foods and beverages. A sense of inspiration

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[SHS.STAT]Humanities and Social Sciences/Methods and statistics[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutrition[SHS.STAT] Humanities and Social Sciences/Methods and statistics[ SHS.STAT ] Humanities and Social Sciences/Methods and statistics[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
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Adequate number of consumers in a liking test. Insights from resampling in seven studies

2014

The recommended number of consumers to be enrolled in a hedonic test comparing several products usually ranges from 50 to 100, at least if no liking segmentation is sought. This paper seeks to examine whether such a panel size range is adequate, by means of 7 trials with different levels of product space complexity. Five types of products were tested: Two varied in fattiness and sweetness and were tested under the same conditions in two separate laboratories (4 trials); the remaining three, varying in taste and texture, were each tested in a different laboratory (3 trials). Each of the 7 trials was run by a different laboratory. Each of the seven laboratories enrolled in its trial 150 consu…

RV coefficient[SDV.BIO]Life Sciences [q-bio]/Biotechnologypanel size030309 nutrition & dieteticsConcordance[ SDV.AEN ] Life Sciences [q-bio]/Food and NutritionRVpsychophysical viewpointCorrelation03 medical and health sciences0404 agricultural biotechnologyresamplingResamplingStatisticshedonic testEconometricsRange (statistics)Product topologyMathematics0303 health sciencesNutrition and Dietetics[ SDV.BIO ] Life Sciences [q-bio]/Biotechnology04 agricultural and veterinary sciences040401 food scienceProduct (business)base sizeAnovaproduct sensory complexitycorrelationAnalysis of variance[SDV.AEN]Life Sciences [q-bio]/Food and NutritionFood Sciencediscrimination
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The right number of consumers to be enrolled in a liking test strongly depends on the level of sensory complexity among products

2010

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutrition[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
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Number of assessors in descriptive sensory panels. A database approach

2010

International audience

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[SDV.AEN]Life Sciences [q-bio]/Food and NutritionComputingMilieux_MISCELLANEOUS
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Do we need replications in sensory profiling?

2011

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutrition[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
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