A G Steele et al 2001 Metrologia 38 483 doi:10.1088/0026-1394/38/6/2
A G Steele, B M Wood and R J Douglas
Show affiliationsMeasurement 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.
06.20.Dk Measurement and error theory
02.50.-r Probability theory, stochastic processes, and statistics
Issue 6 (December 2001)
A G Steele et al 2001 Metrologia 38 483
S. Mathur et al. 2009 The Astronomical Journal 138 1655
R J Plevin and S Mueller 2008 Environ. Res. Lett. 3 024003
Mallory S. E. Roberts et al. 2003 ApJ 588 992
J E Faller 2002 Metrologia 39 425
Noelia E. D. Noël et al. 2009 ApJ 705 1260
I. Shlimak et al 2008 EPL 82 47001
Felipe Menanteau and John P. Hughes 2009 ApJ 694 L136
M. Takami et al 2002 ApJ 568 L53
Syud A Ahmed et al 2009 Environ. Res. Lett. 4 034004