Jump to main content
Jump to site search
Access to RSC content Close the message box

Continue to access RSC content when you are not at your institution. Follow our step-by-step guide.


Issue 18, 2014
Previous Article Next Article

Unbalanced robust ANOVA for the estimation of measurement uncertainty at reduced cost

Abstract

An empirical estimation of the random components of measurement uncertainty arising from the sampling and analytical processes can be made via an experiment involving replication. Analysis of variance (ANOVA) is then used to estimate the variance components. However, the fully balanced design is unduly costly, requiring four analyses per sampling target. This cost can be reduced by 25% by using an unbalanced design. Robust ANOVA in this context is often a useful tool, as it gives a more representative estimate of the separate variances than classical ANOVA when outlying results are encountered, but software for executing unbalanced robust ANOVA has hitherto been unavailable. This Technical Brief introduces the unbalanced design and the corresponding software provided by the AMC.

Graphical abstract: Unbalanced robust ANOVA for the estimation of measurement uncertainty at reduced cost

Back to tab navigation

Article information


Submitted
10 Jul 2014
First published
08 Aug 2014

Anal. Methods, 2014,6, 7110-7111
Article type
AMC Technical Brief

Unbalanced robust ANOVA for the estimation of measurement uncertainty at reduced cost

Analytical Methods Committee, AMCTB No 64, Anal. Methods, 2014, 6, 7110
DOI: 10.1039/C4AY90062F

Social activity

Search articles by author

Spotlight

Advertisements