Estimating common vector parameters in interlaboratory studies

DOI10.1016/j.jmva.2006.09.005zbMath1107.62045OpenAlexW2072058533MaRDI QIDQ873611

Andrew. L. Rukhin

Publication date: 29 March 2007

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2006.09.005

zbMATH Keywords

random effects modelmeta-analysisDerSimonian-Laird estimator(restricted) maximum likelihood estimatorcollaborative studyconsensus meanMandel-Paule algorithm

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (2)

Estimating common parameters in heterogeneous random effects models ⋮ Restricted likelihood representation for multivariate heterogeneous random effects models

Cites Work

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• Restricted maximum likelihood estimation of a common mean and the Mandel-Paule algorithm
• Estimation of a Common Mean and Weighted Means Statistics
• Estimating Heteroscedastic Variances in Linear Models
• Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
• Maximum Likelihood Analysis for Heteroscedastic One‐Way Random Effects ANOVA in Interlaboratory Studies
• Playing Safe with Misweighted Means
• The Combination of Estimates from Different Experiments
• Combining Unbiased Estimators

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