Confidence intervals for variance components from gauge capability studies

Research output: Contribution to journalArticle

22 Citations (Scopus)

Abstract

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
Volume13
Issue number6
StatePublished - 1997

Fingerprint

Gages
Maximum likelihood
Variance components
Confidence interval
Factorial design

Keywords

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

ASJC Scopus subject areas

  • Engineering (miscellaneous)
  • Management Science and Operations Research

Cite this

Confidence intervals for variance components from gauge capability studies. / Borror, Connie M.; Montgomery, Douglas; Runger, George.

In: Quality and Reliability Engineering International, Vol. 13, No. 6, 1997, p. 361-369.

Research output: Contribution to journalArticle

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