Estimating common vector parameters in interlaboratory studies

The primary goal of this work is to extend two methods of random effects models to multiparameter situation. These methods comprise the DerSimonian-Laird estimator, stemming from meta-analysis, and the Mandel-Paule algorithm widely used in interlaboratory studies. The maximum likelihood estimators are also discussed. Two methods of assessing the uncertainty of these estimators are given.

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Year of publication:	2007
Authors:	Rukhin, Andrew L.
Published in:	Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 98.2007, 3, p. 435-454
Publisher:	Elsevier
Keywords:	Collaborative study Consensus mean DerSimonian-Laird estimator Mandel-Paule algorithm Meta-analysis Random effects model (Restricted) maximum likelihood estimator

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005153180