Abstract
In the contribution we focused on impact of dispersion of measurement on estimation of polynomial calibration function coefficients. First, we introduce polynomial calibration model. Then we estimate unknown parameters of transformation function with use of method using linearised model with errors in variables and Kenward Roger's type of aproximation. We analyse impact of dispersion of measurement on estimation of polynomial calibration function coefficients in small simulation study.
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