Monitoring panel performance within and between sensory experiments by multi-way analysis

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

  • Rosaria Romano
  • Jannie Steensig Vestergaard
  • Mohsen Kompany-Zareh
  • Bredie, Wender
In sensory analysis a panel of trained assessors evaluates a set of samples according to specific sensory descriptors. The training improves objectivity and reliability of assessments. However, there can be individual differences between assessors left after the training that should be taken into account in the analysis. Monitoring panel performance is then crucial for optimal sensory evaluations. The present work proposes to analyze the panel performance within single sensory evaluations and between consecutive evaluations. The basic idea is to use multi-way models to handle the three-way nature of the sensory data.
Original languageEnglish
Title of host publicationClassification and multivariate analysis for complex data structures, studies in classification, data analysis, and knowledge organization
EditorsBernard Fichet, Domenico Piccolo, Rosanna Verde, Maurizio Vichi
Number of pages8
Publication date2011
ISBN (Print)978-3-642-13311-4
ISBN (Electronic)978-3-642-13312-1
Publication statusPublished - 2011
SeriesStudies in Classification, Data Analysis, and Knowledge Organization

ID: 33929457