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Confidence Intervals for the Comparison of Variability Estimates for a Mixed Model by Lorraine Daniels; Connie M. Borror; Richard K. Burdick is a Decision Sciences article available to read on EtoBox.
What is Confidence Intervals for the Comparison of Variability Estimates for a Mixed Model about?
## 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. Copyright © 2007 John Wiley & Sons, Ltd.
Who reads Confidence Intervals for the Comparison of Variability Estimates for a Mixed Model?
It is typically read by researchers, students, and practitioners in Decision Sciences.
- Author
- Lorraine Daniels; Connie M. Borror; Richard K. Burdick
- Publisher
- John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley; FASEB (ISSN 0748-8017)
- Published
- 2007
- Language
- EN
- Field
- Decision Sciences (Social Sciences)
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