Outlier Detection with Dixon-type (Q) tests¶
This step detects outliers by comparing a ratio of ranges to an established table of values to determine whether the value in question is an outlier.
- Input data including outliers
- Original data with outliers marked
- Walfish, A review of statistical outlier methods. Pharmaceutical Technology, 2006. Retrieved from www.pharmtech.com.