Statistical Analysis for Interlaboratory Comparisons with Linear Trends in Multiple Loops
Nien F. Zhang
A statistical analysis for interlaboratory comparisons with linear trends in multiple loops is proposed. This approach can be applied to comparisons with multiple artifacts in multiple loops. The uncertainties for the comparisons reference values and the degrees of equivalence are also provided. As an example, the approach is applied to the SIM.EM-S2 Energy Comparison.
Comparison reference value, degree of equivalence, generalized least square estimator, linking laboratory, key comparison.