Publication details

Two models for linear comparative calibration



Year of publication 2012
Type Article in Periodical
Magazine / Source International Journal of Metrology and Quality Engineering
MU Faculty or unit

Faculty of Science

Field Applied statistics, operation research
Keywords calibration problem; multiple-use calibration; maximum likelihod estimator; errors-in-variables model; Kenward-Roger approximation
Description Considered is the comparative calibration problem in the case when linear relationship is assumed between two considered measuring devices with possibly different units and precisions. The first method for obtaining the approximate confidence region for unknown parameters of the calibration line applies the maximum likelihood estimators of the unknown parameters. The second method is based on estimation of the calibration line via replicated errors-in-variables model.
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