Generalized prediction intervals for BLUPs in mixed models
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Publication:391823
DOI10.1016/J.JMVA.2013.05.011zbMath1279.62071OpenAlexW1984510289MaRDI QIDQ391823
Thomas Mathew, Samaradasa Weerahandi, Jinadasa K. Gamage
Publication date: 13 January 2014
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2013.05.011
coverage probabilityREMLbest linear unbiased predictor, BLUPgeneralized pivotal quantity (GPQ)unbalanced data
Inference from stochastic processes and prediction (62M20) Multivariate analysis (62H99) Parametric tolerance and confidence regions (62F25)
Related Items (4)
Improved prediction intervals in heteroscedastic mixed-effects models ⋮ An analysis pipeline for estimating true intake from repeated measurements with random errors ⋮ Exact distributions of statistics for making inferences on mixed models under the default covariance structure ⋮ Improving the EBLUPs of balanced mixed-effects models
Uses Software
Cites Work
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- Interval estimation for the unbalanced case of the one-way random effects model
- That BLUP is a good thing: The estimation of random effects. With comments and a rejoinder by the author
- Generalized Confidence Intervals
- Statistical Tolerance Regions: Theory, Applications, and Computation
- Longitudinal and Panel Data
- Generalized Point Estimation with Application to Small Response Estimation
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