Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/46567
Title: Canonical Correlation-based Tests for the Agreement of Sensory Panelists
Keywords: Sensory assessors
Multivariate agreement
R Software
Monte Carlo simulation
Power
Type I error rate
Correlação canônica
Avaliadores sensoriais
Análise multivariada
Simulação de Monte Carlo
Taxa de erro tipo I
Issue Date: Jan-2020
Publisher: Science Publications
Citation: ROCHA, M. C.; FERREIRA, E. B.; FERREIRA, D. F. Canonical Correlation-based Tests for the Agreement of Sensory Panelists. Journal of Mathematics and Statistics, [S. I.], v. 16, n. 1, p. 9-19, 2020. DOI: 10.3844/jmssp.2020.9.19.
Abstract: The reliability of the results of sensory analysis is directly linked to the performance of panel of assessors what, in general, means the ability of judges to identify small differences between products, the replicability of their ratings for the same product and the panel consonance. The panel consonance - usually called unidimensionality - can be understood as the agreement between the judges, thus it reflects the degree of training. Several methods have been proposed for assessing panel unidimensionality but always checking one attribute at a time. We proposed a generalization of the unidimensionality concept based on canonical correlation and enabling to consider several attributes simultaneously.
URI: http://repositorio.ufla.br/jspui/handle/1/46567
Appears in Collections:DES - Artigos publicados em periódicos
DEX - Artigos publicados em periódicos

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