Title

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.

DOI

10.1006/jmva.2000.1914

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