Exclusive statistics: simple treatment of the unavoidable correlations from key comparison reference values

被引:22
作者
Steele, AG [1 ]
Wood, BM [1 ]
Douglas, RJ [1 ]
机构
[1] Natl Res Council Canada, Inst Natl Measurement Stand, Ottawa, ON K1A 0R6, Canada
关键词
D O I
10.1088/0026-1394/38/6/2
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
Measurement capabilities of national metrology institutes (NMIs) are being analysed with respect to a reference value (the key comparison reference value, KCRV) based on measurement data obtained during the key comparison. Thus the KCRV is correlated with the data of the contributing laboratories. As rigorous treatments of correlations are not routinely presented, a simplified approach to quantifying these inevitable correlations is appropriate. We discuss one method of analysis that neatly quantifies these effects and is particularly easy to describe to all end users, even those not adept with correlation analysis. Each laboratory's result is compared with the KCRV, in whichever way it is calculated (mean, weighted mean, median, etc.), recomputed including only the other laboratories but excluding itself. Exclusive statistics provide a simple procedure for examining candidate KCRV methods to ensure that the correlations introduced by the KCRV have been properly considered.
引用
收藏
页码:483 / 488
页数:6
相关论文
共 11 条
[1]  
Andrews D.F., 1972, ROBUST ESTIMATES LOC
[2]  
[Anonymous], 1995, GUID EXPR UNC MEAS
[3]  
Bevington P., 2002, Data Reduction and Error Analysis for the Physical Sciences, V3rd ed.
[4]  
CHAPMAN GD, 1999, 25819 NRCC
[5]  
COX MG, 2001, ADV MATH COMPUTATION, V5, P107
[6]   STATISTICAL EVALUATION OF INTERLABORATORY TESTS [J].
DAVIES, PL .
FRESENIUS ZEITSCHRIFT FUR ANALYTISCHE CHEMIE, 1988, 331 (05) :513-519
[7]  
Gläser M, 2000, METROLOGIA, V37, P249, DOI 10.1088/0026-1394/37/3/11
[8]   Covariance in mass determination [J].
Gosset, A .
METROLOGIA, 2000, 37 (03) :247-248
[9]  
*INT ORG STAND, 1997, 43 ISO IEC
[10]  
National Institute of Metrology, 2019, GBW13651 NAT I METR