Simultaneous estimation and reduction of nonconformity in interlaboratory studies

被引：10
|
作者：
Strawderman, William E. [1 ]
Rukhin, Andrew L. [2 ]
机构：
[1] Rutgers State Univ, Dept Stat, Piscataway, NJ 08854 USA
[2] Natl Inst Stand & Technol, Gaithersburg, MD 20899 USA
来源：
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY | 2010年 / 72卷
关键词：
Birge ratio; Heteroscedasticity; Key comparisons; Meta-analysis; Normal mean; Reference value; Shrinkage estimators; Stein phenomenon; Weighted means statistics; FUNDAMENTAL PHYSICAL CONSTANTS; CODATA RECOMMENDED VALUES;
D O I：
10.1111/j.1467-9868.2009.00733.x
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
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.
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页码：219 / 234
页数：16
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