Two models for linear comparative calibration
| Authors | |
|---|---|
| Year of publication | 2012 |
| Type | Article in Periodical |
| Magazine / Source | International Journal of Metrology and Quality Engineering |
| MU Faculty or unit | |
| Citation | |
| Doi | http://dx.doi.org/10.1051/ijmqe/2012026 |
| 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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