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

摘要

The objective of this paper is to develop a method for constructing confidence intervals for misclassification rates in a gauge repeatability and reproducibility (R&R) study. Confidence intervals are computed using generalized inference methods. Simulation results suggest confidence coefficients are generally greater than the stated value when a sufficient number of parts and operators are selected for the R&R study.