An Analogue of the L\'Evy-Cram\'Er Theorem for Multi-Dimensional Rayleigh Distributions
Probability
2010-01-24 v3
Abstract
In the present paper we prove that every k-dimensional Cartesian product of Kingman convolutions can be embedded into a k-dimensional symmetric convolution (k=1, 2, ...) and obtain an analogue of the Cram\'er-L\'evy theorem for multi-dimensional Rayleigh distributions.
Keywords
Cite
@article{arxiv.0907.5035,
title = {An Analogue of the L\'Evy-Cram\'Er Theorem for Multi-Dimensional Rayleigh Distributions},
author = {Thu Nguyen},
journal= {arXiv preprint arXiv:0907.5035},
year = {2010}
}
Comments
8 pages