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...
Furkejuvvon:
Váldodahkki: | VANNUCCI, GIULIA (auth) |
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Eará dahkkit: | GOTTARD, ANNA (auth), Grilli, Leonardo (auth), Rampichini, Carla (auth) |
Materiálatiipa: | Elektrovnnalaš Girjji oassi |
Giella: | eaŋgalasgiella |
Almmustuhtton: |
Florence
Firenze University Press
2021
|
Ráidu: | Proceedings e report
127 |
Fáttát: | |
Liŋkkat: | OAPEN Library: download the publication OAPEN Library: description of the publication |
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Chapter Random effects regression trees for the analysis of INVALSI data
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