Assuming a normal-Wishart modelling framework we compare two methods for finding outliers in a multivariate regression … outliers is determined using the marginal likelihood criterion. The methods are compared for test scores of language …

robustness against outliers. Wilcoxon scores in combination with a robust and efficient scale estimator achieve good performance …

signal extraction. We investigate rules for detecting level shifts that are resistant to outliers and which work with only a …

by a substantial amount of outliers. Tests based on a comparison of local medians standardized by a highly robust …

Standard median filters preserve abrupt shifts (edges) and remove impulsive noise (outliers) from a constant signal but … much more vulnerable to outliers. Application of robust regression methods, in particular of the repeated median, has been … suggested for removing subsequent outliers from a signal with trends. A fast algorithm for updating the repeated median in …

distributional assumptions, the choice of the welfare statistics of interest, the procedure for computing them, outliers, undesirable …