Chapter Random effects regression trees for the analysis of INVALSI data
Mixed or multilevel models exploit random effects to deal with hierarchical data, where statistical units are clustered in groups and cannot be assumed as independent. Sometimes, the assumption of linear dependence of a response on a set of explanatory variables is not plausible, and model specifica...
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| Hoofdauteur: | |
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| Andere auteurs: | , , |
| Formaat: | Elektronisch Hoofdstuk |
| Taal: | Engels |
| Gepubliceerd in: |
Florence
Firenze University Press
2021
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| Reeks: | Proceedings e report
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DOAB: download the publicationDOAB: description of the publication
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A1234.567 |
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| Kopie 1 | Beschikbaar |