On the Uncertainty Evaluation for Repeated Measurements

Uncertainty evaluation for repeated measurements has been discussed previously by various researchers and two ways of proceeding were proposed, dependent upon whether or not there is a significative difference in the individual results of repeated measurements. In this paper, the analysis of variance perspective is used to clarify and unify the ideas of previous works. It is shown that the two above-mentioned approaches involve the use of two different estimators for the evaluation of the random component of the standard uncertainty. Based on this, the efficiency of the two estimators is compared in order to propose a procedure for correct and efficient use of previous approaches to perform the uncertainty evaluation for repeated measurements.