A Parametric Bootstrap Approach for One-Way ANOVA Under Unequal Variances with Unbalanced Data

DOI10.1080/03610918.2013.794288zbMath1325.62146OpenAlexW2029669891MaRDI QIDQ5259132

Guoyi Zhang

Publication date: 24 June 2015

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

Full work available at URL: https://doi.org/10.1080/03610918.2013.794288

zbMATH Keywords

ANOVAsimulationsparametric bootstrapmultiple comparisonunequal variance

Mathematics Subject Classification ID

Bootstrap, jackknife and other resampling methods (62F40) Analysis of variance and covariance (ANOVA) (62J10) Paired and multiple comparisons; multiple testing (62J15)

Related Items (6)

Score and Wald tests for the homogeneity of inverse Gaussian scale parameters based on computational approach test ⋮ Comparison of two methods in estimating standard error of the method of simulated moments estimators for generalized linear mixed models ⋮ A fiducial-based approach to the one-way ANOVA in the presence of nonnormality and heterogeneous error variances ⋮ Parametric boostrap and objective Bayesian testing for heteroscedastic one-way ANOVA ⋮ Simultaneous confidence intervals for pairwise multiple comparisons in a two-way unbalanced design with unequal variances ⋮ Testing the equality of treatment means in one-way ANOVA: Short-tailed symmetric error terms with heterogeneous variances

Cites Work

• A new generalized \(p\)-value for ANOVA under heteroscedasticity
• A parametric bootstrap approach for ANOVA with unequal variances: fixed and random models
• A New Generalizedp-Value and Its Upper Bound for ANOVA Under Unequal Error Variances
• A Study of the Powers of Several Methods of Multiple Comparisons
• Single-stage analysis of variance under heteroscedasticity
• ONE-STAGE AND TWO-STAGE STATISTICAL INFERENCE UNDER HETEROSCEDASTICITY

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