Analyzing unreplicated gauge R&R studies

Michael S. Hamada, Connie M. Borror

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


In this article, we show how to analyze an unreplicated gauge repeatability and reproducibility (R&R) study and show the limitations caused by the lack of replication. We use a Bayesian approach and demonstrate it with studies in which the true part or item values either are unknown or known. WinBUGS code is provided for these examples.

Original languageEnglish (US)
Pages (from-to)543-551
Number of pages9
JournalQuality Engineering
Issue number4
StatePublished - Oct 1 2012


  • Bayesian methods
  • measurement system assessment
  • quality metrics

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Industrial and Manufacturing Engineering


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