Simultaneous estimation and reduction of nonconformity in interlaboratory studies
William E. Strawderman and
Andrew L. Rukhin
Journal of the Royal Statistical Society Series B, 2010, vol. 72, issue 2, 219-234
Abstract:
Summary. Several procedures that are designed to reduce nonconformity in interlaboratory studies by shrinking data towards a consensus weighted mean are suggested. Some of them are shown to have a smaller quadratic risk than the vector sample means. Shrinkage towards a weighted mean in a random‐effects model and a statistic appearing in models which allow for systematic errors are also considered. The results are illustrated by two examples of collaborative studies.
Date: 2010
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https://doi.org/10.1111/j.1467-9868.2009.00733.x
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Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssb:v:72:y:2010:i:2:p:219-234
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