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Random Effect and Latent Variable Model Selection
Random effects and latent variable models are broadly used in analyses of multivariate data. These models can accommodate high dimensional data having a variety of measurement scales. Methods for model selection and comparison are needed in conducting hypothesis tests and in building sparse predicti...
| Cote: | Libro Electrónico |
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| Collectivité auteur: | |
| Autres auteurs: | |
| Format: | Électronique eBook |
| Langue: | Inglés |
| Publié: |
New York, NY :
Springer New York : Imprint: Springer,
2008.
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| Édition: | 1st ed. 2008. |
| Collection: | Lecture Notes in Statistics,
192 |
| Sujets: | |
| Accès en ligne: | Texto Completo |