Zhang, N.
(2010),
Linking the Results of CIPM and RMO Key Comparisons with Linear Trends, Journal of Research (NIST JRES), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=902845
(Accessed October 13, 2025)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Linking the Results of CIPM and RMO Key Comparisons with Linear Trends
Published
Author(s)
Abstract
A statistical approach to link the results of interlaboratory comparisons with linear trends is proposed. This approach can be applied to the case that the comparisons have the same nominal values or of a same magnitude. The degrees of equivalence between the pairs of national metrology institutes, of which both only participates in one of the two comparisons, and their corresponding uncertainties are established. The approach is applied to link CCEM-K2 and SIM.EM-K2 comparisons at 1 G Ω level.Citation
Journal of Research (NIST JRES) -
Volume
115
Issue
3
NIST Pub Series
Pub Type
NIST Pubs
Download Paper
Keywords
degrees of equivalence, generalized least square estimator, key comparison reference value, national metrology institute, uncertainty, weighted mean
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact [email protected].
Created June 30, 2010, Updated February 19, 2017