Abstract
Methods are presented for analyzing data from interlaboratory experiments, in which the main purpose is to obtain a consensus value from the overall experiment. The consensus value estimates a parameter of a certain substance or material. Statistical analysis involves computation of appropriate weights, which are derived from estimates of the within-laboratory variances and of the between-laboratory variance. Different procedures are compared via Monte Carlo simulation. The “average of squared residuals” (ASR) method is shown to be preferable in most cases.
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