Category:Multivariate Distribution Functions

In a multivariate distribution, each sample point is a vector. This components of the vector are indexed by an Index I, which you supply when calling a multivariate distribution function. The components of a multivariate distribution are typically correlated.

If X is a multivariate uncertain quantity, its Mid value will be indexed by I. Its Sample will be indexed by Run and I. And if the multivariate distribution function is used from within the Random, a single monte-carlo point indexed by I is produced.