Research Article Open Access

Canonical Correlation-based Tests for the Agreement of Sensory Panelists

Marcela C Rocha1, Eric B Ferreira2 and Daniel F Ferreira3
  • 1 Federal Institute of Education, Science and Technology of South of Minas Gerais, Brazil
  • 2 Federal University of Alfenas, Brazil
  • 3 Federal University of Lavras, Brazil
Journal of Mathematics and Statistics
Volume 16 No. 1, 2020, 9-19

DOI: https://doi.org/10.3844/jmssp.2020.9.19

Submitted On: 9 October 2019
Published On: 11 January 2020

How to Cite: Rocha, M. C., Ferreira, E. B. & Ferreira, D. F. (2020). Canonical Correlation-based Tests for the Agreement of Sensory Panelists. Journal of Mathematics and Statistics, 16(1), 9-19. https://doi.org/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.

Download

Keywords

  • Sensory Assessors
  • Multivariate Agreement
  • R Software
  • Monte Carlo Simulation
  • Power
  • Type I Error Rate