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The standard method for the assessment of the precision of measurement gauges—the gauge R&R method—is not applicable for measurement systems that measure on a nominal scale. For nominal measurements, the agreement method can be used, which expresses precision in the form of an index named κ. This paper aims to provide a consistent framework for the kappa method, based on statistical modeling. The defined probability models are used to study the statistical properties of proposed estimators. Various alternative forms of κ are discussed, as well as their relationship to the so-called paradoxes of kappa.
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Mast et al. (2007) studied this question.
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