This work is devoted to the study of diagnostic tools for categorical data models with an emphasis on the presence of continuous covariates. In particular, the aim is to define a new class of residuals from the parametric multinomial family of models and to study their asymptotics properties. In logistic regression (as in generalized linear models), there are a few different kinds of residuals; we propose a generalization of deviance residuals as defined in logistic regression to the multinomial case and propose their use in order to identify inadequacies in a multinomial model.

ROMEO, G., SCIANDRA, M., CHIODI, M. (2015). How to define deviance residuals in multinomial regression.. In Book of abstract of 10° Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society (pp. 446-450).

How to define deviance residuals in multinomial regression.

SCIANDRA, Mariangela;CHIODI, Marcello
2015-01-01

Abstract

This work is devoted to the study of diagnostic tools for categorical data models with an emphasis on the presence of continuous covariates. In particular, the aim is to define a new class of residuals from the parametric multinomial family of models and to study their asymptotics properties. In logistic regression (as in generalized linear models), there are a few different kinds of residuals; we propose a generalization of deviance residuals as defined in logistic regression to the multinomial case and propose their use in order to identify inadequacies in a multinomial model.
2015
978 88 8467 949 9
ROMEO, G., SCIANDRA, M., CHIODI, M. (2015). How to define deviance residuals in multinomial regression.. In Book of abstract of 10° Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society (pp. 446-450).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/169090
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