A measurement model relates the measurand to measured inputs and correction quantities, for example when inferring electrical resistance. Its mathematical form states which physical effects are included in the result.
For small uncertainties, linearization gives . The covariance term shows why shared calibration information matters. A model must also account for effects such as instrumental drift when they materially influence the inference.[ref]
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