An assumption for the development of bootstrap variants of the Akaike information criterion in mixed models

DOI10.1016/j.spl.2007.12.015zbMath1152.62017OpenAlexW2069690350MaRDI QIDQ945775

Junfeng Shang, Joseph E. Cavanaugh

Publication date: 17 September 2008

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2007.12.015

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Bootstrap, jackknife and other resampling methods (62F40) Nonparametric statistical resampling methods (62G09)

Related Items (2)

Estimation of river and stream temperature trends under haphazard sampling ⋮ Accelerated degradation process analysis based on the nonlinear Wiener process with covariates and random effects

Uses Software

• bootstrap

Cites Work

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• Bootstrap variants of the Akaike information criterion for mixed model selection
• The BLUPs are not best when it comes to bootstrapping
• Estimating the Error Rate of a Prediction Rule: Improvement on Cross-Validation
• How Biased is the Apparent Error Rate of a Prediction Rule?
• A new look at the statistical model identification

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