Mixed Effects Designs: The Symmetry Assumption and Missing Data

DOI10.1080/01621459.2012.712419zbMath1443.62214OpenAlexW2055093079MaRDI QIDQ4648568

Trent Gaugler, Michael G. Akritas

Publication date: 9 November 2012

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01621459.2012.712419

zbMATH Keywords

hypothesis testingunbalanced designsheteroscedasticityU-statisticsasymptotic theorymain effectsspectrum approximation

Mathematics Subject Classification ID

Hypothesis testing in multivariate analysis (62H15) Factorial statistical designs (62K15) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (3)

Nonparametric modeling via two-way mixed effects design ⋮ Testing for main random effects in two-way random and mixed effects models: modifying the F statistic ⋮ A mixed model for complete three or higher-way layout with two random effects factors

Cites Work

• The asymptotic validity of invariant procedures for the repeated measures model and multivariate linear model
• Weak convergence and empirical processes. With applications to statistics
• Random matrix approximation of spectra of integral operators
• Asymptotics for testing hypothesis in some multivariate variance components model under non-normality
• Asymptotically distribution free tests in heteroscedastic unbalanced high dimensional ANOVA
• Heteroscedastic One-Way ANOVA and Lack-of-Fit Tests
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