Rukhin, A.
(2009),
Weighted Means Statistics in Interlaboratory Studies, Metrologia, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=901445
(Accessed June 1, 2023)
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.
Weighted Means Statistics in Interlaboratory Studies
Published
Author(s)
Abstract
The usefulness of weighted means statistics as a consensus mean estimator in collaborative studies is discussed. A random effects model designed to combine information from several sourcesis employed to justify their appeal to metrologists. Some methods of estimating the uncertainties and of constructing confidence intervals are reviewed.Citation
Metrologia
Volume
46
Pub Type
Journals
Download Paper
Keywords
Almost unbiased estimator, DerSimonian-Laird estimator, Fairweather procedure, Graybill-Deal estimator, heteroscedasticity, Mandel-Paule algorithm, maximum likelihood, meta-analysis, random effects model
Citation
Created May 6, 2009, Updated February 19, 2017