Extending chi-squared statistics for key comparisons in metrology

We examine different χ 2 statistics appropriate for high-level metrology. “Key” measurement comparisons often need statistics that can be used before a reference value is chosen. One such statistic is the pair-difference χ 2 , presented here. This is also a natural way to examine bilateral equivalen...

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Veröffentlicht in:Journal of computational and applied mathematics 2006-07, Vol.192 (1), p.51-58
Hauptverfasser: Steele, A.G., Douglas, R.J.
Format: Artikel
Sprache:eng
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Zusammenfassung:We examine different χ 2 statistics appropriate for high-level metrology. “Key” measurement comparisons often need statistics that can be used before a reference value is chosen. One such statistic is the pair-difference χ 2 , presented here. This is also a natural way to examine bilateral equivalences essential for trade. Monte Carlo simulation is a practical means to extend rigor beyond conventional χ 2 testing, and permits the use of a wide variety of reference values for familiar null-hypothesis testing. Further, simulation enables the handling of measurements purportedly drawn from Student distributions or with reported inter-laboratory covariances.
ISSN:0377-0427
1879-1778
DOI:10.1016/j.cam.2005.04.041