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The impact of covariance misspecification in multivariate Gaussian mixtures on estimation and inference: an application to longitudinal modeling
Multivariate Gaussian mixtures are a class of models that provide a flexible parametric approach for the representation of heterogeneous multivariate outcomes. When the outcome is a vector of repeated measurements taken on the same subject, there is often inherent dependence between observations. Ho...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2013
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4130662/ https://ncbi.nlm.nih.gov/pubmed/23296542 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.5729 |
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