Two calibration models

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Authors	WIMMER Gejza WITKOVSKÝ Viktor
Year of publication	2012
Type	Article in Proceedings
Conference	Proceedings of XX IMEKO World Congress
MU Faculty or unit	Faculty of Science
Citation
Field	Applied statistics, operation research
Keywords	Calibration probem; multiple-use calibration; maximum likelihood estimator; Kenward-Roger approximation
Description	Analyzed is the comparative calibration problem in the case when linear relationship is assumed between two considered measuring devices. 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. The two methods are compared.
Related projects:	Jaroslav Hájek Center for Theoretical and Applied Statistics