Principal components analysis of descriptive sensory data: Reflections, challenges, and suggestions
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Tormod Næs | Oliver Tomic | Paula Varela | Isabella Endrizzi | T. Næs | O. Tomic | P. Varela | I. Endrizzi
[1] J. Gower. Generalized procrustes analysis , 1975 .
[2] Tormod Næs,et al. Portion size selection as related to product and consumer characteristics studied by PLS path modelling , 2020 .
[3] T. Næs,et al. Confidence ellipsoids for ASCA models based on multivariate regression theory , 2018 .
[4] Tormod Næs,et al. Performance indices in descriptive sensory analysis – A complimentary screening tool for assessor and panel performance , 2013 .
[5] M. Stone. Cross‐Validatory Choice and Assessment of Statistical Predictions , 1976 .
[6] Tormod Næs,et al. Some new tools for visualising multi-way sensory data , 2008 .
[7] M. Stone,et al. Cross‐Validatory Choice and Assessment of Statistical Predictions , 1976 .
[8] Jérôme Pagès,et al. Multiple factor analysis (AFMULT package) , 1994 .
[9] Pascal Schlich,et al. Defining and Validating Assessor Compromises About Product Distances and Attribute Correlations , 1996 .
[10] Rosaria Romano,et al. Correcting for different use of the scale and the need for further analysis of individual differences in sensory analysis , 2008 .
[11] Rasmus Bro,et al. Multi‐way models for sensory profiling data , 2008 .
[12] Tormod Næs,et al. Selecting the number of factors in principal component analysis by permutation testing—Numerical and practical aspects , 2017 .
[13] Tormod Næs,et al. Analysing sensory panel performance in a proficiency test using the PanelCheck software , 2009 .
[14] Harry T. Lawless,et al. Sensory Evaluation of Food , 1999 .
[15] Tormod Næs,et al. Visualization of sensory profiling data for performance monitoring , 2007 .
[16] Garmt Dijksterhuis,et al. Assessing panel consonance , 1995 .
[17] Tormod Næs,et al. Interpreting sensory data by combining principal component analysis and analysis of variance , 2009 .
[18] H. Lawless,et al. Limiting response alternatives in time-intensity scaling: an examination of the halo-dumping effect. , 1994, Chemical senses.
[19] S. Wold. Cross-Validatory Estimation of the Number of Components in Factor and Principal Components Models , 1978 .
[20] Marine Cadoret,et al. Construction and evaluation of confidence ellipses applied at sensory data , 2013 .
[21] J. J. Jansen,et al. ASCA: analysis of multivariate data obtained from an experimental design , 2005 .
[22] Tormod Næs,et al. Interpretation, validation and segmentation of preference mapping models , 2014 .
[23] Tormod Næs,et al. Outlier and group detection in sensory panels using hierarchical cluster analysis with the Procrustes distance , 2004 .
[24] Tormod Næs,et al. Identifying outlying assessors in sensory profiling using fuzzy clustering and multi-block methodology , 2009 .
[25] Per B. Brockhoff,et al. Taking individual scaling differences into account by analyzing profile data with the Mixed Assessor Model , 2015 .