Chapter Random effects regression trees for the analysis of INVALSI data

Chapter Random effects regression trees for the analysis of INVALSI data

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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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Bibliographic Details
Main Author: VANNUCCI, GIULIA (auth)
Other Authors: GOTTARD, ANNA (auth), Grilli, Leonardo (auth), Rampichini, Carla (auth)
Format: Electronic Book Chapter
Language:English
Published: Florence Firenze University Press 2021
Series:Proceedings e report
Subjects:
Regression trees
Multilevel models
Random effects
Hierarchical data
Online Access:DOAB: download the publication
DOAB: description of the publication
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