Comparison of Canonical Variate Analysis and Principal Component Analysis on 422 descriptive sensory studies-Reference-Cited by-同舟云学术

Comparison of Canonical Variate Analysis and Principal Component Analysis on 422 descriptive sensory studies

Published:2015-03 Issue: Volume:40 Page:326-333
ISSN:0950-3293
Container-title:Food Quality and Preference
language:en
Short-container-title:Food Quality and Preference

Author:

Peltier C.,Visalli M.,Schlich P.

Publisher

Elsevier BV

Subject

Nutrition and Dietetics,Food Science

Reference19 articles.

1. Brockhoff, P. (2000). Multivariate analysis of sensory profile data: Is CVA better than PCA? Levnedsmiddelkongres, Copenhagen, Denmark.

2. Revisiting the collinear data problem: An assessment of estimator ‘ill-conditioning’ in linear regression;Callaghan;Practical Assessment, Research and, Evaluation,2008

3. Generalyzed procrustes analysis;Gower;Psychometrika,1975

4. Understanding biplots;Gower,2011

5. Comparison of canonical variate and principal component analyses of wine descriptive analysis data;Heymann;Journal of Food Science,1989

Cited by 40 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Performance degradation in an advanced power system by analyzing process dynamics;Applied Energy;2024-09

2. Flavonoids and their relationship with the physiological quality of seeds from different soybean genotypes;Scientific Reports;2024-07-24

3. Shape variation in cranium, mandible and teeth in selected mouse strains;Anatomia, Histologia, Embryologia;2024-06-06

4. FCM marker importance for MRD assessment in T‐cell acute lymphoblastic leukemia: An AIEOP‐BFM‐ALL‐FLOW study group report;Cytometry Part A;2023-10-19

5. First steps towards FAIRization of product-focused sensory data;Food Quality and Preference;2023-03