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PUBLICATIONS

Weighted Means Statistics in Interlaboratory Studies

Published

Author(s)

Andrew L. Rukhin

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

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Keywords

Almost unbiased estimator, DerSimonian-Laird estimator, Fairweather procedure, Graybill-Deal estimator, heteroscedasticity, Mandel-Paule algorithm, maximum likelihood, meta-analysis, random effects model
Statistical analysis

Citation

Rukhin, A. (2009), Weighted Means Statistics in Interlaboratory Studies, Metrologia, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=901445 (Accessed October 18, 2025)

Issues

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Created May 6, 2009, Updated February 19, 2017
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