The multivariate normal distribution is a commonly encountered multivariate distribution.
2.
The term is commonly used in statistics to distinguish a multivariate distributions.
3.
They allow the joining of multiple univariate distributions to a single multivariate distribution.
4.
Conversely, every positive semi-definite matrix is the covariance matrix of some multivariate distribution.
5.
It is also possible to modify some attributes of a multivariate distribution using an appropriately constructed transformation.
6.
Another possibility is to present survey results by means of statistical models in the form of a multivariate distribution mixture.
7.
With Aurelien Alfonsi ( 2005 ), Brigo introduced new families of multivariate distributions in statistics through the periodic copula function concept.
8.
He has also published in diverse areas such as ranking and selection, multivariate distributions, characterization, and mixtures of distributions.
9.
*PM : multivariate distribution function, id = 8753 new !-- WP guess : multivariate distribution function-- Status:
10.
*PM : multivariate distribution function, id = 8753 new !-- WP guess : multivariate distribution function-- Status:
मोबाइल