Simultaneous estimation and reduction of nonconformity in interlaboratory studies

William E. Strawderman; Andrew L. Rukhin

doi:10.1111/j.1467-9868.2009.00733.x

Simultaneous estimation and reduction of nonconformity in interlaboratory studies

William E. Strawderman, Andrew L. Rukhin

School of Arts and Sciences, Statistics

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

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. Journal compilation

Original language	English (US)
Pages (from-to)	219-234
Number of pages	16
Journal	Journal of the Royal Statistical Society. Series B: Statistical Methodology
Volume	72
Issue number	2
DOIs	https://doi.org/10.1111/j.1467-9868.2009.00733.x
State	Published - Mar 2010

All Science Journal Classification (ASJC) codes

Statistics and Probability
Statistics, Probability and Uncertainty

Keywords

Birge ratio
Heteroscedasticity
Key comparisons
Meta-analysis
Normal mean
Reference value
Shrinkage estimators
Stein phenomenon
Weighted means statistics

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10.1111/j.1467-9868.2009.00733.x

Cite this

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KW - Heteroscedasticity

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KW - Meta-analysis

KW - Normal mean

KW - Reference value

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KW - Stein phenomenon

KW - Weighted means statistics

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Simultaneous estimation and reduction of nonconformity in interlaboratory studies

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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