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Multivariate
Acceptability For Sale
Agency Testing
Alcoholic Beverages
Analysis
Animated Sequences
Anova-Simultaneous Component Analysis (ASCA)
Aroma
Artificial Intelligence
B-Cluster Analysis
BSG-Enriched Biscuits
Balanced Incomplete Block (BIB)
Beer
Benchmarks
Beverages
Binary Taste Interactions
Biscuits
Bivariate
Bootstrap
Bread
Brettanomyces Metabolites
Brewer’s Spent Grain (BSG)
Calibration
Carbonation
Cereal
Chance Limit
Chance-Corrected Beta-Binomial
Check-All-That-Apply (CATA)
Cheese
Chemometrics
Choice Overload
Citric Acid
Cluster Analysis
Color Swatches
Comments
Confidence Ellipsoid
Confidence Regions
Consumer
Consumer Choice
Consumer Data Quality
Consumer Expectation
Consumer Perceived Difference
Consumer Relevance
Consumer Relevant Difference
Consumer Satisfaction
Consumer Testing
Correspondence Analysis
Cross-Modal Interactions
Crossdiff-Unfolding
Daily Testing
Dairy
Data Analysis
Deep Learning
Degree-Of-Difference
Descriptive Analysis
Difference from Control
Direct Scaling
Discriminability
Discriminal Distance
Discrimination Testing
Drivers and Inhibitors of Liking
Dual-Attribute Time Intensity (DATI)
Effect Size
Emotions
Equivalence
Exports
FCM (Feedback Calibration Method)
FDFC
Fish
Flash Profiling
Focus Groups
Food Choice Motivations
Free Choice Profiling
Gin
Graph Theory
Hedonic
Highest Density Region
Ideal Product
Implicit Association Test
Imputation
In-Store Interviews
Incomplete Block Segmentation
Independent Components Analysis (ICA)
Individual Differences
Instructions
Joint Approximate Diagonalization of Eigenmatrices (JADE)
Just-About-Right (JAR)
Kombucha
L1-Norm
L1-Norm Principal Component Analysis (L1-Norm PCA)
Less
Light-Struck
Liking
Machine Learning
Meat
Median of Absolute Deviations (MAD)
Meet-Or-Beat
Milk
Mobile Devices
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Multiple Factor Analysis (MFA)
Analytical methods considering multiple variables simultaneously, including PCA, cluster analysis, MFA, and regression techniques used to uncover structure in complex sensory datasets.
March 23, 2025
Investigating control-centred results after uncentred principal component analysis
October 3, 2024
Investigating relationships in sensory and instrumental data using component-based methods
September 25, 2024
Investigating test-control paired differences in flavour-molecular correlations
September 8, 2024
Introduction to component-based methods in sensory evaluation
June 14, 2024
Investigating control-centred results after uncentred principal component analysis
May 18, 2024
Supervised principal component regression of select paired comparisons
October 31, 2023
Why use component-based methods in sensory science?
October 16, 2023
Principal component analysis of sensory panel results for a reference and multiple prototypes
September 18, 2023
Investigating paired differences for data sets with special structures after principal component analysis
August 10, 2023
Principal component analysis of sensory panel results for a reference and multiple prototypes
February 1, 2022
Discriminability and uncertainty in principal component analysis (PCA) of temporal check-all-that-apply (TCATA) data
December 23, 2016
Using contrails and animated sequences to visualize uncertainty in dynamic sensory profiles obtained from temporal check-all-that-apply (TCATA) data
November 15, 2016
Handling missing data in consumer hedonic tests arising from direct scaling
March 23, 2016
Using partial bootstrap to evaluate the uncertainty associated with TCATA product trajectories
March 22, 2016
tempR: Temporal sensory data analysis
January 22, 2016
Number of terms to use in temporal check-all-that-apply studies (TCATA and TCATA Fading) for sensory product characterization by consumers
January 17, 2016
Temporal Check-All-That-Apply (TCATA): A novel dynamic method for characterizing products
November 23, 2015
A cost/benefit analysis of consumer CATA and trained descriptive analysis
November 23, 2015
Characterizing wine finish using TCATA product contrails
August 23, 2015
Meta-attributes in sensory descriptive analysis
August 23, 2015
A markov model for Temporal Dominance of Sensations (TDS) data
August 22, 2015
Does a change in data capture device affect sensory descriptive analysis results?
October 14, 2014
Check-All-That-Apply questions
July 29, 2014
Temporal Check-All-That-Apply (TCATA): a novel temporal sensory method for characterizing products
December 16, 2013
Existing and new approaches for the analysis of CATA data
August 20, 2013
A preliminary review of multiple group Principal Component Analysis for descriptive sensory data
August 14, 2013
Existing and new approaches for analysing data from Check All That Apply questions
September 20, 2012
Designing a consumer liking study using prior sensory information: consumer segments and liking drivers from a study using a designed incomplete block design
July 13, 2012
Sensory Informed Incomplete Block Designs
August 20, 2007
Multivariate and probabilistic analyses of sensory science problems
April 22, 2006
Use of feedback calibration to reduce the training time for wine panels
July 17, 2005
Calibrated descriptive analysis stabilizes sensory profiles across panels
July 28, 2004
Optimizing the proficiency of wine panels trained using feedback calibration
July 25, 2004
Development of a wine style guided by consumer research