On [alpha]-symmetric multivariate distributions
A random vector is said to have a 1-symmetric distribution if its characteristic function is of the form [phi](t1 + ... + tn). 1-Symmetric distributions are characterized through representations of the admissible functions [phi] and through stochastic representations of the radom vectors, and some of their properties are studied.
Year of publication: |
1983
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Authors: | Cambanis, Stamatis ; Keener, Robert ; Simons, Gordon |
Published in: |
Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 13.1983, 2, p. 213-233
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Publisher: |
Elsevier |
Keywords: | [alpha]-symmetric multivariate characteristic function Laplace transform conditional distribution n-dimensional version stable |
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