Confidence Intervals for Misclassification Rates in a Gauge R&R Study

Journal of Quality Technology vol. 37 issue 4 - October 2005

Abstract: [This abstract is based on the authors' abstract.]A method is presented for constructing confidence intervals for misclassification rates in a gauge repeatability and reproducibility (R&R) study. Generalized inference methods were used to compute the confidence intervals. Results indicate that confidence coefficients are generally greater than the stated value when a sufficient number of parts and operators are selected for the R&R study.

Keywords: Analysis of variance (ANOVA) - Capability study - Gage Repeatability and reproducibility studies (GR&R) - Measurement system - Repeatability and reproducibility studies (R&R) - Variance components

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