Parametric bootstrap tests for unbalanced nested designs under heteroscedasticity

DOI10.1080/00949655.2013.782028zbMath1453.62388OpenAlexW2026183219MaRDI QIDQ5219459

Ranran Chen, Hongxia Guo, Li-Wen Xu, Jiajie Wang, Bo Mei

Publication date: 12 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2013.782028

zbMATH Keywords

nested modelsunbalanced databootstrap re-samplinggeneralized \(p\)-values

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Bootstrap, jackknife and other resampling methods (62F40) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (1)

Bootstrap inference of the skew-normal two-way classification random effects model with interaction

Cites Work

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• A parametric bootstrap approach for ANOVA with unequal variances: fixed and random models
• Exact tests for random models with unequal cell frequencies in the last stage
• Generalized \(F\)-tests for unbalanced nested designs under heteroscedasticity
• A Parametric Bootstrap Approach for Testing Equality of Inverse Gaussian Means Under Heterogeneity
• A parametric bootstrap solution to the MANOVA under heteroscedasticity
• A Parametric Bootstrap Test for Comparing Heteroscedastic Regression Models

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