Sentence examples for multivariate distribution is from inspiring English sources

Therefore, any multivariate distribution is applicable.

In other words, the multivariate distribution is coupled to its marginal distributions.

If a multivariate distribution is parametrically specified, often the lower-dimensional marginals follow the same distribution of an appropriate dimension.

The multivariate distribution of the present data does not meet these recommendations indicating the multivariate distribution is non-normal.

The multivariate distribution is used to model one variable for multiple tips on a tree, rather than to model multiple characters.

The crude assumption that the multivariate distribution is Gaussian is crucial in the derivation, whereas the unrealistic assumption that v j j ′ = 0 for j ≠  j ′ is made for simplicity.

As the COP approach has no closed-form solution, simulations from this multivariate distribution are necessary.

A multivariate generalization of classical order statistics for random samples from a continuous multivariate distribution was defined by Corley [18].

However, in these studies, the moment test as a GOF test was applied to each dimension individually and the possible contribution of inter-dimensional dependency to the multivariate distribution was not considered.

Zonoid trimming for multivariate distributions is considered in ([Koshevoy and Mosler 1997]; [Mosler 2002]).

In the articles listed earlier, a number of well-known multivariate distributions are shown to possess the END properties.