Abstract
The paper builds the comparative calibration model with a polynomial calibration function. The model allows to consider possibly correlated data and combines the type A as well as type B unceranities of measurements. From statistical point of view the model after linearization could be represented by the linear errors-in-variables model (EIV).
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