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Cluster Analysis
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)
A family of statistical techniques that group products, consumers, or panelists based on similarity across multiple variables, revealing natural segments or subgroups within the data.
September 5, 2025
One citation, one vote! A new approach for analysing check-all-that-apply (CATA) data using L1-norm methods
September 3, 2025
Comparison of check-all-that-apply product evaluations in different conditions using an L1-norm framework
August 18, 2025
One citation, one vote! A new approach for analyzing check-all-that-apply (CATA) data using L1 norm methods
February 25, 2025
One citation, one vote! A new approach for analysing check-all-that-apply (CATA) data in sensometrics, using L1 norm methods
July 31, 2024
Sugar replacement in chocolate-flavored milk: Differences in liking of sweetener system relates to temporal perception
July 21, 2023
An approach for clustering consumers by their top-box and top-choice responses
November 9, 2022
Clustering consumers based on their hedonic responses
March 4, 2022
Clustering consumers based on product discrimination in check-all-that-apply (CATA) data
August 6, 2019
Analysis of sensory check-all-that-apply (CATA) data which includes the evaluation of a single ideal product
September 22, 2015
Product selection for liking studies: the sensory-informed design
August 23, 2015
Meta-attributes in sensory descriptive analysis
September 17, 2014
Combining highly efficient methods can reduce costs without compromise
July 28, 2014
The Role of Imputation in Clustering BIB Data
August 11, 2013
Sensory informed design: An effective clustering of incomplete block consumer data
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
August 5, 2012
Using sensory testing to optimize foods and beverage products for an export market
July 13, 2012
Sensory Informed Incomplete Block Designs
July 12, 2012
A New Method for Analyzing Time Intensity Curves
June 20, 2012
You know what you like, but what about everyone else? A case study on incomplete block segmentation of white-bread consumers
July 26, 2009
Segmentation of BIB consumer liking of high-fatigue products: Sensory confirmation of statistical methods
July 21, 2008
Consumer segmentation of BIB liking data of 12 cabernet sauvignon wines: A case study
August 20, 2007
Multivariate and probabilistic analyses of sensory science problems
August 20, 2005
Generating, refining, and calibrating targets: comparing the performance of panellists on two white wine panels