Abstract #300965

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JSM 2003 Abstract #300965
Activity Number: 367
Type: Contributed
Date/Time: Wednesday, August 6, 2003 : 10:30 AM to 12:20 PM
Sponsor: Section on Physical and Engineering Sciences
Abstract - #300965
Title: Meta-analysis Procedures in Key Comparisons and Interlaboratory Studies
Author(s): Andrew L. Rukhin*+ and Nell Sedransk and Blaza Toman
Companies: University of Maryland, Baltimore County and National Institute of Standards and Technology and NIST
Address: 1000 Hilltop Cir., Baltimore, MD, 21250-0001,
Keywords: random effects model ; common mean ; weighted means ; types of uncertainties ; median
Abstract:

Statistical modeling and analysis of international key comparisons data poses several fundamental questiions for statistical metrology. This paper investigates issues that arise in the key comparison reference value (KCRV) evaluation along with estimates of the uncertainty of this value. The dependence of the estimators on reported uncertainties based both on statistical estimates of standard deviations and on scientific judgement is examined. An approach is proposed using a model often employed in meta-analysis and assuming Gaussian distributions and equivalent qualification of participating laboratories. The relationship of this problem to an analysis of interlaboratory studies data is explored. A class of weighted means statistics and a method to assess their uncertainty are given. These estimates lead to associated confidence intervals for the KCRV. Monte Carlo simulation results along with the practical application of these procedures in a key study of accelerometers are also reported

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