Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/46567
Título: Canonical Correlation-based Tests for the Agreement of Sensory Panelists
Palavras-chave: 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
Data do documento: Jan-2020
Editor: Science Publications
Citação: 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.
Resumo: 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
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DEX - Artigos publicados em periódicos

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