Confidence intervals for misclassification rates in a gauge R&R study

Richard K. Burdick, You Jin Park, Douglas Montgomery, Connie M. Borror

Research output: Contribution to journalArticlepeer-review

28 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)294-303
Number of pages10
JournalJournal of Quality Technology
Issue number4
StatePublished - Oct 2005


  • Analysis of Variance
  • Gauge Studies
  • Measurement Systems Capability Analysis
  • Variance Components

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering


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