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Model Based Uncertainty Analysis in Inter-Laboratory Studies

Published

Author(s)

Blaza Toman, Antonio M. Possolo

Abstract

Statistical analysis of key comparison and inter-laboratory experiments is required to produce an estimate of the measurand called a reference value and further, measures of equivalence of the participating laboratories. Methods of estimation of the reference value have been proposed that rest on the idea of finding a so-called consistent subset of laboratories, that is, eliminating outlying participants. In this paper we propose an alternative statistical model, one that accommodates all of the participants data and incorporates the dispersion among the laboratories into the total uncertainty of the various estimates. This model recognizes the fact that the dispersion of values between laboratories often is substantially larger than the measurement uncertainties provided by the participating laboratories. We illustrate the method on data from key comparison CCL-K1.
Proceedings Title
Conference on Advanced Mathematical and Computational Tools in Metrology and Testing
Conference Dates
June 23-25, 2008
Conference Location
Paris

Citation

Toman, B. and Possolo, A. (2008), Model Based Uncertainty Analysis in Inter-Laboratory Studies, Conference on Advanced Mathematical and Computational Tools in Metrology and Testing , Paris, -1, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=900232 (Accessed April 12, 2024)
Created June 23, 2008, Updated February 19, 2017