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 …

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 …

Spatial sign and rank-based methods have been studied in the recent literature, especially
when the dimension is smaller than the sample size. In this paper, a classification method …

Data depth has been described as alternative to some parametric approaches in analyzing
many multivariate data. Many depth functions have emerged over two decades and studied …

The effect of correlation on multivariate rank outlyingness, a result of deviation of multivariate
rank functions from property of spherical symmetry, is examined. Possible affine invariant …