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|Author(s):||Andrew L. Rukhin; William E. Strawderman;|
|Title:||Simultaneous Estimation and Reduction of Nonconformity in Interlaboratory Studies|
|Published:||August 08, 2012|
|Abstract:||Several procedures designed to reduce nonconformity in interlaboratory studies by shrinking data toward a consensus weighted mean are suggested. Some of them are shown to have a smaller quadratic risk than the vector sample mean. Shrinkage toward a weighted means statistics appearing in random effects model and in models which include systematic, Type B errors is also considered. The results are illustrated by two examples of collaborative studies.|
|Citation:||Journal of the Royal Statistical Society Series B-Statistical Methodology|
|Pages:||pp. 451 - 469|
|Keywords:||Birge ratio, DerSimonian-Laird estimator, heteroscedasticity, key comparisons, Mandel-Paule algorithm, meta-analysis, normal mean, reference value, shrinkage estimators, Stein phenomenon, weighted means statistics.|
|PDF version:||Click here to retrieve PDF version of paper (790KB)|