Abstract
The joint PDF of a Gaussian vector \( {\rm X} \in N_n \left( {\bar {\rm X},\sigma ^2 } \right) \) with covariance matrix
is given as
where |MX| denotes the determinant of MX. Letting
then the joint CF is given by
For the special case of n = 2, \( \bar {\rm X} = 0 \), and the covariance matrix of (1.10), the joint moments are given as
.
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© 2002 Springer Science + Business Media, LLC
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(2002). Fundamental Multidimensional Variables. In: Probability Distributions Involving Gaussian Random Variables. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-47694-0_4
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DOI: https://doi.org/10.1007/978-0-387-47694-0_4
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-34657-1
Online ISBN: 978-0-387-47694-0
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