Simple components

DOI10.1080/02664763.2016.1268104OpenAlexW4251062245MaRDI QIDQ5139087

D. S. Arnold, Trevor F. Cox

Publication date: 7 December 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2016.1268104

zbMATH Keywords

factor analysisprincipal componentssensory datafast moving goods industryHausmann weights

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Advances in principal balances for compositional data

Uses Software

• PMA

Cites Work

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• A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis
• Orthogonal simple component analysis: a new, exploratory approach
• The varimax criterion for analytic rotation in factor analysis
• Robust centroid method
• Transposition invariant principal component analysis in \(L_{1}\) for long tailed data
• Principal component analysis.
• The optimality of the centroid method
• An analytical solution for approximating simple structure in factor analysis
• Interpretable dimension reduction
• Simple Principal Components
• Criteria for Evaluating Dimension-Reducing Components for Multivariate Data
• On Consistency and Sparsity for Principal Components Analysis in High Dimensions
• Robust Q-mode principal component analysis in \(L_{1}\)

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