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

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 …

that SIR is very sensitive towards outliers in the data. Therefore a generalized estimation procedure which allows for …

The aim of detecting outliers in a multivariate sample can be pursued in different ways. We investigate here the … distribution outliers can be placed until certain simultaneous identification rules will detect them as outliers. We consider …

Data from the automatic monitoring of intensive care patients exhibits trends, outliers, and level changes as well as …

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 …

The aim of detecting outliers in a multivariate sample can be pursued in different ways. We investigate here the … distribution outliers can be placed until certain simultaneous identification rules will detect them as outliers. We consider …