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 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
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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. |
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ISSN: | 0377-0427 1879-1778 |
DOI: | 10.1016/j.cam.2005.04.041 |