Improved Large-Sample Confidence Intervals for Ratios of Variance Components in Nonnormal Distributions

DOI10.1080/03610926.2012.743567zbMath1311.62032OpenAlexW2023969833MaRDI QIDQ5249194

Brent D. Burch

Publication date: 29 April 2015

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2012.743567

zbMATH Keywords

intraclass correlation coefficientone-way random effects modelREML

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Parametric tolerance and confidence regions (62F25) Bootstrap, jackknife and other resampling methods (62F40)

Related Items (1)

Estimating kurtosis and confidence intervals for the variance under nonnormality

Cites Work

• Nonparametric bootstrap confidence intervals for variance components applied to interlaboratory comparisons
• Confidence intervals for variance components in unbalanced one-way random effects model using non-normal distributions
• Partially observed information and inference about non-Gaussian mixed linear models
• Bootstrap confidence intervals. With comments and a rejoinder by the authors
• REML estimation: Asymptotic behavior and related topics
• Assessing the performance of normal-based and REML-based confidence intervals for the intraclass correlation coefficient
• The Estimation of Skewness and Kurtosis of Random Effects in the Linear Model
• Confidence interval for a ratio of variances in bivariate nonnormal distributions

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