Iterative outlier removal: A method for identifying outliers in laboratory recalibration studies

摘要

BackgroundExtreme values that arise for any reason, including through non-laboratory measurement procedure-related processes (inadequate mixing, evaporation, mislabeling), lead to outliers and inflate errors in recalibration studies. We present an approach termed iterative outlier removal (IOR) for identifying such outliers.