Abstract
In this paper, the local influence approach for detecting the effect of small perturbations of the model or data is applied in the context of comparative calibration models. Such models are typically used for comparing several measuring instruments and can be considered in a functional version as well as in a structural version as is the case with ordinary measurement error models. Different perturbation schemes are considered and some real data applications illustrate the usefulness of the approach.
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