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ConsumerCheck: Methodology for combining sensory properties with additional information in consumer acceptance studies of food products
Kuznetsova, Alexandra
(PhD Student)
Brockhoff, Per B.
(Main Supervisor)
Christensen, Rune Haubo Bojesen
(Supervisor)
Andersen, Elisabeth Wreford
(Examiner)
Schlich, Pascal
(Examiner)
Højsgaard, Søren
(Examiner)
Overview
Fingerprint
Research output
(1)
Project Details
Status
Finished
Effective start/end date
01/05/2010
→
21/09/2015
Funding
Institut, samfinansiering
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Sensometrics
Food Science
100%
Analysis of Variance
Food Science
100%
Sensory Properties
Food Science
33%
Modern Consumers
Keyphrases
20%
Lme4
Keyphrases
20%
Linear Mixed Effects
Keyphrases
20%
Open Source R
Keyphrases
20%
Typical User
Keyphrases
20%
Research output
Research output per year
2015
2015
2015
1
Ph.D. thesis
Research output per year
Research output per year
Linear mixed models in sensometrics
Kuznetsova, A.,
2015
, Kgs. Lyngby:
Technical University of Denmark
.
76 p.
(DTU Compute PHD-2015; No. 374).
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Sensometrics
100%
Analysis of Variance
100%
Sensory Properties
33%
Typical User
20%
Open Source R
20%
2605
Downloads (Pure)