ABSTRACT
The multivariate skew-normal distributions have been introduced as a generalization of the normal distribution to model, in a natural way, skewness features in the distribution. These families also have properties similar to the normal distribution. However, two important properties have been absent: the closure for the joint distribution of independent members of the multivariate skew-normal family and the closure under linear combinations other than those given by non-singular matrices.
