Assessing the stability of principal components using regression

Psychometrika

Volumn 60, Issue 3, 1995, Pages 355-369

  Sinha, Atanu R ^a   Buchanan, Bruce S ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b NEW YORK UNIVERSITY   (United States)

Author keywords

PCA; regression analysis; sampling stability; simulation

Indexed keywords

EID: 34249758741     PISSN: 00333123     EISSN: 18600980     Source Type: Journal    
DOI: 10.1007/BF02294380     Document Type: Article

References (15)

1. The asymptotic distribution of certain characteristic roots and vectors
2. Asymptotic theory for principal component analysis
3. Stability of principal component analysis studied by the bootstrap method
4. Computer intensive methods in statistics
5. Principal components
6. On the sampling theory of roots of determinantal equations
7. Parameter sensitivity in multivariate methods
8. Relation of sample size to the stability of component patterns
9. Sensitivity of principal components
10. Approximating confidence intervals for factor loadings
11. Influential observations in principal components analysis: A case study
12. Comparison of five rules for determining the number of components to retain