Confidence intervals for variance components from gauge capability studies

Research output: Contribution to journalArticlepeer-review

26 Scopus citations


Two methods of constructing confidence intervals for variance components in gauge capability studies are presented in this article. Comparisons are made between the restricted maximum likelihood (REML) method and the modified large sample (MLS) method for constructing confidence intervals for components of repeatability, reproducibility, and total (gauge) variability. The examples considered involve a factorial design and a nonstandard nested design.

Original languageEnglish (US)
Pages (from-to)361-369
Number of pages9
JournalQuality and Reliability Engineering International
Issue number6
StatePublished - Jan 1 1997


  • Analysis of variance
  • Confidence intervals
  • Gauge capability analysis
  • Repeatability
  • Reproducibility
  • Variance components

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Management Science and Operations Research


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