Dear friends of Root,
I am dealing often with data samples that have a few but extreme outliers. Normally I am only interested in the mean and standard deviations of these samples. But quite often the standard deviation I get with GetRMS() in root is biased by the few but strong outliers. So I want to replace this with some robust width estimator.
I know there is a class called TRobustEstimator but I did not use it so far. From quickly looking at its reverence it seems this class is already much more then I need (it is multivariate but I have only 1D data samples)
So are there suggestions what to use in root to get a robust dispersion estimator for my use case?
thanks in advance and kind regards