Using the Grubbs and Cochran tests to identify outliers
A No, Analytical Methods Committee - Analytical methods, 2015 - pubs.rsc.org
A No, Analytical Methods Committee
Analytical methods, 2015•pubs.rsc.orgIn a previous Technical Brief (TB No. 39) three approaches for tackling suspect results were
summarised. Median-based and robust methods respectively ignore and down-weight
measurements at the extremes of a data set, while significance tests can be used to decide if
suspect measurements can be rejected as outliers. This last approach is perhaps still the
most popular one, and is used in several standards, despite possible drawbacks. Here
significance testing for identifying outliers is considered in more detail with the aid of some …
summarised. Median-based and robust methods respectively ignore and down-weight
measurements at the extremes of a data set, while significance tests can be used to decide if
suspect measurements can be rejected as outliers. This last approach is perhaps still the
most popular one, and is used in several standards, despite possible drawbacks. Here
significance testing for identifying outliers is considered in more detail with the aid of some …
In a previous Technical Brief (TB No. 39) three approaches for tackling suspect results were summarised. Median-based and robust methods respectively ignore and down-weight measurements at the extremes of a data set, while significance tests can be used to decide if suspect measurements can be rejected as outliers. This last approach is perhaps still the most popular one, and is used in several standards, despite possible drawbacks. Here significance testing for identifying outliers is considered in more detail with the aid of some typical examples.
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