A characterization of spherical distributions
It is shown that when the random vector X in Rn has a mean and when the conditional expectation E(u'Xv'X) = 0 for all vectors u, v [set membership, variant] Rn which satisfy u'v = 0, then the distribution of X is orthogonally invariant. A version of this characterization is also established when X does not have a mean vector.
Year of publication: |
1986
|
---|---|
Authors: | Eaton, Morris L. |
Published in: |
Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 20.1986, 2, p. 272-276
|
Publisher: |
Elsevier |
Keywords: | orthogonally invariant distributions spherical distributions elliptical distribution characterization conditional expectation error distributions linear models |
Saved in:
Saved in favorites
Similar items by person
-
Multivariate statistics : a vector space approach
Eaton, Morris L., (1983)
-
Studentization and prediction in a multivariate normal setting
Eaton, Morris L., (2005)
-
The "north pole problem" and random orthogonal matrices
Eaton, Morris L., (2009)
- More ...