Outlier detection with boxplots based on new highly efficient robust estimates of scale

Robust versions of Tukey’s boxplot based on the low-complexity highly efficient robust estimates of scale are presented. Boxplots’ performance is tested  experimentally using Monte–Carlo method on two big groups of data distributions: symmetric and skewed models of distribution. The proposed versions of boxplots prove to be a better choice when dealing with contaminated data.