Testing for main random effects in two-way random and mixed effects models: Modifying the f statistic

Trent Gaugler, Michael G. Akritas

Research output: Contribution to journalArticle

Abstract

A procedure for testing the significance of the main random effect is proposed under a model which does not require the traditional assumptions of symmetry, homoscedasticity, and normality for the error term and random effects. To accommodate this level of model generality, and also unbalanced designs, suitable adjustments to the F-test are made. The extensive simulations performed under the random effects model, and the unrestricted and restricted versions of the mixed effects model, indicate that the classical F procedure is extremely liberal under heteroscedasticity and unbalancedness. The proposed test procedure performs well in all settings and is comparable to the classical F-test when the classical assumptions are met. An analysis of a dataset from the Mussel Watch Project is presented.

Original languageEnglish (US)
Article number708540
JournalJournal of Probability and Statistics
DOIs
StatePublished - Apr 29 2013

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F-statistics
Mixed Effects Model
Random Effects Model
Main Effect
Random Effects
F Test
Testing
Unbalanced Designs
Homoscedasticity
Heteroscedasticity
Error term
Normality
Adjustment
Symmetry
Model
Simulation

All Science Journal Classification (ASJC) codes

  • Statistics and Probability

Cite this

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