Using the Grubbs and Cochran tests to identify outliers
Authors:
- Analytical Methods CommitteeACAnalytical Methods Committee
- Amctb No. 69A6Amctb No. 69
- 30 July 2015
- journal article
- amc technical-brief
- Published by Royal Society of Chemistry (RSC) in Analytical Methods
- Vol. 7 (19) , 7948-7950
Abstract
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.Keywords
This publication has 1 reference indexed in Scilit:
- Protocol for the design, conduct and interpretation of method-performance studies: Revised 1994 (Technical Report)Pure and Applied Chemistry, 1995