In this paper we define deviance-based local and overall coefficients of determination for mixtures of generalized linear models whose parameters are estimated via the maximum likelihood approach. The aim is to summarize how well the model fits the data both in each group and taken as a whole.

Local and overall coefficients of determination for mixtures of generalized linear models

Roberto Di Mari;Salvatore Ingrassia;Antonio Punzo
2020-01-01

Abstract

In this paper we define deviance-based local and overall coefficients of determination for mixtures of generalized linear models whose parameters are estimated via the maximum likelihood approach. The aim is to summarize how well the model fits the data both in each group and taken as a whole.
2020
9788891910776
Cluster validation, Mixtures of regressions, Model-based clustering, Maximum likelihood.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/483274
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