A.24 Multivariate normal distribution
An n-dimensional random vector 
has a multivariate normal distribution with mean vector 
and variance–covariance matrix 
, denoted
if it has joint density function
It can be checked by finding the determinant of the 
variance–covariance matrix
and inverting it that the bivariate normal distribution is a special case.
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