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Cross-Validation for Nonlinear Mixed Effects Models
Cross-validation is frequently used for model selection in a variety of applications. However, it is difficult to apply cross-validation to mixed effects models (including nonlinear mixed effects models or NLME models) due to the fact that cross-validation requires “out-of-sample” predictions of the...
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| Main Authors: | , |
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| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
2013
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| Ábhair: | |
| Rochtain Ar Líne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3668859/ https://ncbi.nlm.nih.gov/pubmed/23532511 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10928-013-9313-5 |
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