Keywords
Bootstrapping (finance)CitationPrincipal (computer security)Computer scienceLibrary scienceInformation retrievalMathematicsEconometrics
Related Publications
Cross-Validatory Estimation of the Number of Components in Factor and Principal Components Models
By means of factor analysis (FA) or principal components analysis (PCA) a matrix Y with the elements y ik is approximated by the model Here the parameters α, β and θ express the...
Stopping Rules in Principal Components Analysis: A Comparison of Heuristical and Statistical Approaches
Approaches to determining the number of components to interpret from principal components analysis were compared. Heuristic procedures included: retaining components with eigenv...
Principal component analysis
Abstract Principal component analysis (PCA) is a multivariate technique that analyzes a data table in which observations are described by several inter‐correlated quantitative d...
Publication Info
- Year
- 1995
- Type
- article
- Volume
- 76
- Issue
- 2
- Pages
- 640-643
- Citations
- 37
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
37
OpenAlex
Cite This
David W. Mehlman,
Ursula L. Shepherd,
Douglas Kelt
(1995).
Bootstrapping Principal Components Analysis: A Comment.
Ecology
, 76
(2)
, 640-643.
https://doi.org/10.2307/1941219
Identifiers
- DOI
- 10.2307/1941219