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 ...

Nonparametric method for multivariate density estimation using neural networks In this paper, a parameter-free method is proposed to determine the probability density function of multi-dimensional ...

AbstractBRIDGES is a recurring feature of J-NABS intended to provide a forum for the interchange of ideas and information between basic and applied researchers in benthic science. Articles in this ...

It is truly multivariate in that the displays we develop show different aspects of one multivariate comparison between the data and the reference sample. This is unlike most generalizations of Q-Q ...

The idea of this paper is to use the multivariate normal inverse Gaussian (MNIG) distribution as the conditional distribution for a multivariate GARCH model. The MNIG distribution belongs to a very ...

Multivariate Techniques in Business. In order to be meaningful, market survey questions must often be complex and multilayered and answers can vary depending on a number of conditions and factors ...