Testing for main random effects in two-way random and mixed effects models: modifying the F statistic

DOI10.1155/2013/708540zbMath1273.62043OpenAlexW2094437584WikidataQ59021444 ScholiaQ59021444MaRDI QIDQ1952480

Trent Gaugler, Michael G. Akritas

Publication date: 31 May 2013

Published in: Journal of Probability and Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/708540

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Parametric hypothesis testing (62F03)

Related Items (1)

Nonparametric modeling via two-way mixed effects design

Cites Work

• The ANOVA \(F\) test can still be used in some balanced designs with unequal variances and nonnormal data
• Random matrix approximation of spectra of integral operators
• Asymptotics for testing hypothesis in some multivariate variance components model under non-normality
• Testing for Interaction in Two-Way Random and Mixed Effects Models: The Fully Nonparametric Approach
• Average Values of Mean Squares in Factorials
• Mixed Effects Designs: The Symmetry Assumption and Missing Data
• Heteroscedastic One-Way ANOVA and Lack-of-Fit Tests
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Testing for main random effects in two-way random and mixed effects models: modifying the F statistic