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.
- Analysis of variance
- Mixed model
- Variance components
ASJC Scopus subject areas
- Safety, Risk, Reliability and Quality
- Management Science and Operations Research