On weighted multivariate sign functions

Multivariate sign functions are often used for robust estimation and inference. We propose using data dependent weights in association with such functions. The proposed weighted retain desirable robustness properties, while significantly improving efficiency inference compared to unweighted multivariate sign-based methods. Using signs, we demonstrate methods of location principal component analysis. extend the scope include sufficient dimension reduction functional outlier detection. Several numerical studies real applications efficacy methodology.