Journal
ANALYTICAL METHODS
Volume 7, Issue 19, Pages 7948-7950Publisher
ROYAL SOC CHEMISTRY
DOI: 10.1039/c5ay90053k
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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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