Estimating common vector parameters in interlaboratory studies

Andrew L. Rukhin

Journal of Multivariate Analysis, 2007, vol. 98, issue 3, 435-454

Abstract: 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.

Keywords: Collaborative; study; Consensus; mean; DerSimonian-Laird; estimator; Mandel-Paule; algorithm; Meta-analysis; Random; effects; model; (Restricted); maximum; likelihood; estimator (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (2)

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