Abstract
Measurement uncertainty in experiments is receiving increasing
interest among practitioners both for quantitative and qualitative evaluations.
Applications may be found, for example, to compare experiments run in different
laboratories, to certify the precision of gauges used in the masurement process or
to measure uncertainty in a classification process, i.e. when objects are
qualitatively evaluated by appraisers. In this paper, after having briefly presented
how to measure uncertainty using gauge repeatability and reproducibility studies,
we focus on a problem quite relevant for practitioners: how to deal with the
presence of correlation among “replications”. This issue is common to many
food/agriculture experiments. By a modification of a nested mixed effect design,
we describe the impact of dependencies among replications on measurement
capability.
Lingua originale | English |
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pagine (da-a) | 673-679 |
Numero di pagine | 7 |
Rivista | Quality and Reliability Engineering International |
Volume | 2011 |
DOI | |
Stato di pubblicazione | Pubblicato - 2011 |
Keywords
- Misclassification rates
- Repeatability and reproducibility