Abstract
Automatic detection of outliers with robust statistic estimator resistant to multiple errors. The method is based on the iteratively re-weighted least squares adjustment (IRLS).
Our approach uses an iterative algoritm with the heuristic decrement of weights of elements suspected to be outliers.