Simultaneous estimation and reduction of nonconformity in interlaboratory studies

• 成果类型: Article
• 署名作者: Strawderman, William E.; Rukhin, Andrew L.
• 署名单位: Rutgers University System; Rutgers University New Brunswick; National Institute of Standards & Technology (NIST) - USA
• 刊物名称: JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
• ISSN/ISSBN: 1369-7412
• DOI: 10.1111/j.1467-9868.2009.00733.x
• 发表日期: 2010
• 页码: 219-234
• 关键词: fundamental physical constants; codata recommended values

摘要

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.