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Multilevel Models and Robustness

Authors: N. Solaro; S. Salini; P. A. Ferrari;

Multilevel Models and Robustness

Abstract

In questo lavoro il binomio robustezza–modelli multilivello viene affrontato secondo due diverse accezioni: la robustezza nei modelli multilivello e i modelli multilivello come procedura robusta. Nel primo caso vengono discusse le proprietà statistiche degli usuali stimatori dei parametri dei modelli multilivello quando è violata l’ipotesi di normalità delle componenti erratiche. Nel secondo, il modello multilivello è utilizzato come approccio robusto al problema della taratura statistica in presenza di dati raggruppati. Lo stesso viene poi comparato con modelli alternativi mediante uno studio di simulazione.

Country
Italy
Keywords

ML and REML estimates, multilevel calibration estimator, multivariate calibration, multivariate exponential power distributions, sandwich estimator

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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