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Robust lineære blandede effektmodeller×Permutasjonstest (Randomiseringstest)×
FagfeltStatistikkStatistikk
FamilieRegression modelRegression model
Opprinnelsesår20162005
OpphavspersonRichardson & Welsh (robust REML); Koller (robustlmm implementation)Good (2005); Edgington & Onghena (2007); resampling tradition
TypeRobust linear mixed-effects modelNonparametric resampling test
Opprinnelig kildeKoller, M. (2016). robustlmm: An R Package for Robust Estimation of Linear Mixed-Effects Models. Journal of Statistical Software, 75(6), 1-24. DOI ↗Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792
Aliasrobust mixed-effects model, robust linear mixed model, robust LMM, Robust Karma Etkiler Modelirandomization test, exact permutation test, re-randomization test, Permütasyon Testi
Relaterte55
SammendragThe robust mixed model is a linear mixed-effects model for panel and repeated-measures data that tolerates outliers and heavy-tailed errors. It replaces the usual likelihood with bounded-influence estimating equations, building on the robust restricted maximum likelihood of Richardson and Welsh (1995) and the robustlmm implementation of Koller (2016).The permutation test is a nonparametric resampling procedure that builds the sampling distribution of a test statistic directly from the data by repeatedly shuffling the group labels. Developed in the resampling tradition and treated systematically by Good (2005) and Edgington & Onghena (2007), it requires no parametric distributional assumption and yields an exact p-value.
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ScholarGateSammenlign metoder: Robust Mixed Model · Permutation Test. Hentet 2026-06-17 fra https://scholargate.app/no/compare