Detecting outliers for multivariate data is difficult and does not work by visual inspection.
Mahalanobis distance (MD) has been a classical method to detect outliers in multivariate …

This paper is concerned with asymptotic behaviors of sample spatial medians under
elliptical distributions in a high-dimensional asymptotic framework, where the dimension of …

This article presents a robust method for detecting multiple outliers from multidimensional
data using robust Mahalanobis distance. Initial scatter matrix for robust Mahalanobis …

A spatial outlier is an object that significantly deviates from its surrounding neighbors. The
median algorithm is one of the spatial outlier methods, which is robust. However, it assumes …

The regression analysis has an important part in studying the relationship between variables
in statistical data. It consists of modeling, analysis of several variables and aims to find the …

The regression analysis has an important part in studying the relationship between variables
in statistical data. It consists of modeling, analysis of several variables and aims to find the …