Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Models for the duo-trio and triangular methods.

K Mullen1, D M Ennis, E de Doncker

  • 1Department of Mathematics and Statistics, University of Guelph, Ontario, Canada.

Biometrics
|December 1, 1988
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Canadian Surgery Forum 2018: St. John's, NL Sept. 13-15, 2018.

Canadian journal of surgery. Journal canadien de chirurgie·2022
Same author

Surface-Specific Spectroscopy of Water at a Potentiostatically Controlled Supported Graphene Monolayer.

The journal of physical chemistry. C, Nanomaterials and interfaces·2019
Same author

Session 4: Cell-Material Interaction.

Biomedizinische Technik. Biomedical engineering·2019
Same author

Electronic characterization of silicon intercalated chevron graphene nanoribbons on Au(111).

Chemical communications (Cambridge, England)·2018
Same author

Orientation-Dependent Work-Function Modification Using Substituted Pyrene-Based Acceptors.

The journal of physical chemistry. C, Nanomaterials and interfaces·2017
Same author

Tuning the deposition of molecular graphene nanoribbons by surface functionalization.

Nanoscale·2015
Same journal

Acknowledgment of Referees 2025.

Biometrics·2026
Same journal

Fast penalized generalized estimating equations for large longitudinal functional datasets.

Biometrics·2026
Same journal

Causally-interpretable random-effects meta-analysis.

Biometrics·2026
Same journal

Statistical inference for mean function of partially observed functional time series.

Biometrics·2026
Same journal

Subgroup identification via Interaction Tree and Mixed Model for Repeated Measures with application to Alzheimer's disease.

Biometrics·2026
Same journal

Finite mixtures of linear quantile regressions with concomitant variables: a solution to endogeneity in longitudinal data modeling.

Biometrics·2026
See all related articles

This study extends sensory analysis methods by introducing the n-dimensional duo-trio model. This advances the analysis of multivariate perceptual processes beyond previous univariate limitations.

Area of Science:

  • Sensory Science
  • Psychometrics
  • Statistics

Background:

  • The duo-trio and triangular methods are established tools for perceptual process analysis.
  • Existing models are limited to univariate phenomena, restricting their application.
  • Previous research explored multivariate responses and bivariate models.

Purpose of the Study:

  • To present the n-dimensional duo-trio method model.
  • To extend existing perceptual analysis models to multivariate cases.
  • To provide a comprehensive framework for n-dimensional sensory analysis.

Main Methods:

  • Development of the n-dimensional duo-trio model.
  • Review of prior work on the n-dimensional triangular method.
  • Building upon Monte Carlo studies for multivariate response probabilities.

Related Experiment Videos

Main Results:

  • The paper formulates the n-dimensional duo-trio method.
  • It addresses challenges in numerical integration for n-dimensional models.
  • It expands the applicability of sensory analysis to complex, multivariate data.

Conclusions:

  • The n-dimensional duo-trio model offers a significant advancement for sensory science.
  • This work enables more sophisticated analysis of multivariate perceptual data.
  • It provides a robust mathematical framework for higher-dimensional sensory evaluations.