GESD – A Robust and Effective Technique for Dealing with Multiple Outliers

Standardization News

GESD – A Robust and Effective Technique for Dealing with Multiple Outliers

BY:
Alex T.C. Lau

Q. I suspect that my data contain more than one outlier. Is there a preferred technique to use to isolate them?

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Editor’s Note: Another standard can now be used to avoid the masking situation addressed in this article: the practice for application of generalized extreme studentized deviate (GESD) technique to simultaneously identify multiple outliers in a data set (D7915).

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Issue Month
November/December
Issue Year
2015


Source URL: https://sn.astm.org/data-points/gesd-–-robust-and-effective-technique-dealing-multiple-outliers-nd15.html