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  • 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.
  • 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. (en)
Title
  • Two calibration models
  • Two calibration models (en)
skos:prefLabel
  • Two calibration models
  • Two calibration models (en)
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  • RIV/00216224:14310/12:00063728!RIV13-MSM-14310___
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  • P(LC06024)
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  • 175455
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  • RIV/00216224:14310/12:00063728
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  • Calibration probem; multiple-use calibration; maximum likelihood estimator; Kenward-Roger approximation (en)
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  • [07314536DF1F]
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  • Busan
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  • Busan, Republic of Korea
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  • Proceedings of XX IMEKO World Congress
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  • Wimmer, Gejza
  • Witkovský, Viktor
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http://linked.open.../riv/zahajeniAkce
number of pages
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  • KRISS
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  • 9788995000052
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  • 14310
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