Confidence intervals for the comparison of variability estimates for a mixed model

Lorraine Daniels, Connie M. Borror, Richard K. Burdick

Research output: Contribution to journalArticle

Abstract

In this paper, we develop methods for generating confidence intervals for the comparison of variability estimates in a mixed-effects model. A generalized confidence interval (GCI) is developed and contrasted to the modified large sample (MLS) method with an adjustment for a fixed effect. The methods are assessed using a computer simulation. Recommendations are provided for selecting an appropriate method.

Original languageEnglish (US)
Pages (from-to)37-53
Number of pages17
JournalQuality and Reliability Engineering International
Volume24
Issue number1
DOIs
StatePublished - Feb 2008

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Computer simulation
Mixed model
Confidence interval
Fixed effects

Keywords

  • Analysis of variance
  • Mixed model
  • Variance components

ASJC Scopus subject areas

  • Engineering (miscellaneous)
  • Management Science and Operations Research

Cite this

Confidence intervals for the comparison of variability estimates for a mixed model. / Daniels, Lorraine; Borror, Connie M.; Burdick, Richard K.

In: Quality and Reliability Engineering International, Vol. 24, No. 1, 02.2008, p. 37-53.

Research output: Contribution to journalArticle

Daniels, Lorraine ; Borror, Connie M. ; Burdick, Richard K. / Confidence intervals for the comparison of variability estimates for a mixed model. In: Quality and Reliability Engineering International. 2008 ; Vol. 24, No. 1. pp. 37-53.
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