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- W1566759344 abstract "To properly monitor and improve a manufacturing process, it is necessary to measure attributes of the process output. Measurements of these attributes are taken by a gauge that has associated measurement variability. Gauge R&R studies are used to determine if the measurement system variability is harmfully large. The approach for evaluating the goodness of the measurement system based on a gauge R&R study is to determine the probability that a part is misclassified. The better a measurement system, the less likely it is to classify a “good” part as “bad”, and a “bad” part as “good”. References are provided for computing bounds on the probabilities of these misclassifications.Keywords:gauge RRmeasurement systems analysis;variance component models;measurement error;random effects model;misclassification rates" @default.
- W1566759344 created "2016-06-24" @default.
- W1566759344 creator A5035128174 @default.
- W1566759344 date "2014-09-29" @default.
- W1566759344 modified "2023-09-26" @default.
- W1566759344 title "Gauge Repeatability and Reproducibility ( R & R ) Studies, Misclassification Rates" @default.
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- W1566759344 doi "https://doi.org/10.1002/9781118445112.stat04142" @default.
- W1566759344 hasPublicationYear "2014" @default.
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