Improved estimates of expanded measurement uncertainty-Reference-Cited by-同舟云学术

Improved estimates of expanded measurement uncertainty

Published:2024 Issue:31 Volume:16 Page:5482-5485
ISSN:1759-9660
Container-title:Analytical Methods
language:en
Short-container-title:Anal. Methods

Author:

Analytical Methods Committee, AMCTB No. 114

Abstract

An improved estimate of expanded measurement uncertainty, when this is calculated using ANOVA results from a nested experimental design, is described. In cases where the number of sampling targets is ≪30, more accurate coverage factors are calculated.

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/AY/D4AY90083A

Reference8 articles.

1. Joint Committee for Guides in Metrology , JCGM 100:2008. Evaluation of Measurement Data – Guide to the Expression of Uncertainty in Measurement (GUM) , Sevres , 2008 , https://www.bipm.org/documents/20126/2071204/JCGM_100_2008_E.pdf/cb0ef43f-baa5-11cf-3f85-4dcd86f77bd6 , accessed 15 May 2024

2. Eurachem/EUROLAB/CITAC/Nordtest/AMC Guide: Measurement Uncertainty Arising from Sampling: a Guide to Methods and Approaches , ed. M. H. Ramsey , S. L. R. Ellison and P. D. Rostron , Eurachem , 2nd edn, 2019 , ISBN 978-0-948926-35-8, https://www.eurachem.org/index.php/publications/guides/musamp

3. Analytical Methods Committee , The Duplicate Method for the Estimation of Measurement Uncertainty Arising from Sampling , AMC Technical Brief No. 40, https://www.rsc.org/images/duplicate-method-measurement-uncertainty-technical-brief-40_tcm18-214829.pdf

4. Robust statistics–how not to reject outliers. Part 1. Basic concepts

5. Robust statistics–how not to reject outliers. Part 2. Inter-laboratory trials