Moreover, every finite collection of those random variables has a multivariate normal distribution.

This early work assumed that data-values within each of the two groups had a multivariate normal distribution.

They allow the joining of multiple univariate distributions to a single multivariate distribution.

It is constructed from a multivariate normal distribution over by using the probability integral transform.

Under the unimodality hypothesis, the data are thought to be a random sample from a multivariate normal distribution.

The multivariate normal distribution is the special case in which for quadratic form .

The multivariate distribution is used when there are more than two colors.

Sets of central moments can be defined for both univariate and multivariate distributions.

Rectangular confidence regions for the means of multivariate normal distributions.

The errors are usually assumed to follow a multivariate normal distribution.