Measures of Multivariate Kurtosis In many applications, the manifest variables are not even approximately multivariate normal. If this happens to be the case with your data set, the default ...

In this article we consider a generalization of the univariate g-and-h distribution to the multivariate situation with the aim of providing a flexible family of multivariate distributions that ...

Topics include multivariate normal distribution, multivariate analysis of variance and covariance (MANOVA and MACOVA), principal components, factor analysis, structure equation modeling, canonical ...

It is traditionally assumed that the random effects in mixed models follow a multivariate normal distribution, making likelihood-based inferences more feasible theoretically and computationally.

An introduction to the theory and application of modern multivariate methods used in the Social Sciences: Multivariate normal distribution, principal components analysis, factor analysis, latent ...

Multivariate analysis identified progressive disease before HDCT, mediastinal nonseminomatous primary tumor, refractory or absolute refractory disease to conventional-dose cisplatin, and human ...