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An Optimal Test for Variance Components of Multivariate Mixed-Effects Linear Models
In this article we derive an optimal test for testing the significance of covariance matrices of random-effects of two multivariate mixed-effects linear models. We compute the power of this newly derived test via simulation for various alternative hypotheses in a bivariate set up for unbalanced desi...
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| Huvudupphovsmän: | , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2014
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3883508/ https://ncbi.nlm.nih.gov/pubmed/24415807 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jmva.2013.10.014 |
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