Over the last two decades, multivariate sign and rank based methods have become popular
in analysing multivariate data. In this paper, we propose a classification methodology based …

Probabilistic modelling of relevant environmental variables are crucial for the safe design
and operation of marine structures. Using metocean data, a joint model of several variables …

Non parametric approaches to classification have gained significant attention in the last two
decades. In this paper, we propose a classification methodology based on the multivariate …

In this study, we propose classification method based on multivariate rank. We show that this
classifier is Bayes rule under suitable conditions. Multivariate ranks are not invariant under …

Modern software systems need to independently adapt their conduct at runtime in order to
keep their software in reaction to continuous environmental changes. Most research on …

We propose a visual test of goodness of fit for families of elliptically symmetric distributions
based on a test statistic derived from scale–scale plots. The scale–scale plots are …