A graphical procedure for comparing the principal components of several covariance matrices

DOI10.1080/03610918708812583zbMath0609.62098OpenAlexW1510546007MaRDI QIDQ3749962

No author found.

Publication date: 1987

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918708812583

zbMATH Keywords

eigenvectorsdissimilarity measurePrincipal components analysisgraphical procedureassessing the degree of similaritydirection of scattersgamma probability plotting procedureorientation of point clouds

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Graphical methods in numerical analysis (65S05)

Related Items (2)

Unnamed Item ⋮ Estimating correlation matrices that have common eigenvectors.

Cites Work

• Unnamed Item
• Between-Groups Comparison of Principal Components
• Numerical Methods for Computing Angles Between Linear Subspaces
• Graphical Methods for Internal Comparisons in Multiresponse Experiments
• Asymptotic Theory for Principal Component Analysis
• GRAPHICAL ANALYSIS OF MULTI-RESPONSE EXPERIMENTAL DATA USING ORDERED DISTANCES
• A High Dimensional Two Sample Significance Test
• Some Theorems on Quadratic Forms Applied in the Study of Analysis of Variance Problems, I. Effect of Inequality of Variance in the One-Way Classification

This page was built for publication: A graphical procedure for comparing the principal components of several covariance matrices