More good news on the (only) affine invariant test for multivariate reflected symmetry about an unknown center
share
We revisit the problem of testing for multivariate reflected symmetry about an unspecified point. Although this testing problem is invariant with respect to full-rank affine transformations, among the hitherto few proposed tests only the test studied in [12] respects this property. We identify a measure of deviation Δ (say) from symmetry associated with the test statistic T_n (say), and we obtain the limit normal distribution of T_n as n →∞ under a fixed alternative to symmetry. Since a consistent estimator of the variance of this limit normal distribution is available, we obtain an asymptotic confidence interval for Δ. The test, when applied to a classical data set, strongly rejects the hypothesis of reflected symmetry, although other tests even do not object against the much stronger hypothesis of elliptical symmetry.
READ FULL TEXT
