A parametric bootstrap approach for two-way error component regression models

DOI10.1080/03610918.2015.1073304zbMath1368.62044OpenAlexW2485511076MaRDI QIDQ4976585

Lili Yue, Wei-xing Song, Jian-Hong Shi

Publication date: 31 July 2017

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2015.1073304

zbMATH Keywords

simulationparametric bootstrapgeneralized variable testtwo-way error component regression model

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Parametric hypothesis testing (62F03) Bootstrap, jackknife and other resampling methods (62F40)

Related Items (5)

Bootstrap inference on variance component functions in the unbalanced two-way random effects model ⋮ Bootstrap inference on the variance component functions in the two-way random effects model with interaction ⋮ Statistical inference for the unbalanced two-way error component regression model with errors-in-variables ⋮ Testing equality of the regression coefficients in panel data models ⋮ An exact method for testing equality of several groups in panel data models

Cites Work

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• Generalized \(p\)-values and generalized confidence intervals for variance components in general random effect model with balanced data
• A Parametric Bootstrap Test for Comparing Heteroscedastic Regression Models
• Inferences on the Among-Group Variance Component in Unbalanced Heteroscedastic One-Fold Nested Design

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