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.