Efficient Robust Mean Value Calculation of 1D Features

This work addresses outlier handling in statistical analysis for data scientists, but it appears incremental as it builds on existing robust mean techniques.

The paper tackles the problem of robust mean calculation for 1D data with outliers by presenting an efficient method using the truncated quadratic error norm, comparing it to channel averaging and showing it as a viable alternative.