Estimating Common Vector Parameters in Interlaboratory Studies
Andrew L. Rukhin
The primary goal of this work is to extend two methodsof random effects models to multiparameter situation. These methods comprise the DerSimonian-Laird estimator, arising in the 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, and a study of the theoretical properties of these methods is performed.
Estimating Common Vector Parameters in Interlaboratory Studies, Journal of Multivariate Analysis, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=150395
(Accessed December 10, 2023)