Parallel Principal Axes
Document Type
Article
Publication Date
11-2000
Abstract
Parallel principal axes are introduced and used to investigate the structure of multivariate distributions. In the class of elliptical distributions, it is shown that self-consistency of parallel principal axes characterizes normality. Parallel principal axes are used to illustrate the equivalent event fallacy in the context of self-consistency. Finally, the idea of piecewise principal component axes is introduced and related to an allometric extension model.
Repository Citation
Tarpey, T.
(2000). Parallel Principal Axes. Journal of Multivariate Analysis, 75 (2), 295-313.
https://corescholar.libraries.wright.edu/math/199
DOI
10.1006/jmva.2000.1914
