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Testing Random Effects in the Linear Mixed Model Using Approximate Bayes Factors
Deciding which predictor effects may vary across subjects is a difficult issue. Standard model selection criteria and test procedures are often inappropriate for comparing models with different numbers of random effects due to constraints on the parameter space of the variance components. Testing on...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2009
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3136354/ https://ncbi.nlm.nih.gov/pubmed/18759835 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2008.01107.x |
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