Robust mixture regression modeling based on scale mixtures of skew-normal distributions
Camila B. Zeller, Celso R. B. Cabral, Victor H. Lachos
ARTIGO
Inglês
The traditional estimation of mixture regression models is based on the assumption of normality (symmetry) of component errors and thus is sensitive to outliers, heavy-tailed errors and/or asymmetric errors. In this work we present a proposal to deal with
FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP
2014/02938-9
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQ
167731/2013-0
FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DO AMAZONAS - FAPEAM
FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE MINAS GERAIS - FAPEMIG
fechado
Robust mixture regression modeling based on scale mixtures of skew-normal distributions
Camila B. Zeller, Celso R. B. Cabral, Victor H. Lachos
Robust mixture regression modeling based on scale mixtures of skew-normal distributions
Camila B. Zeller, Celso R. B. Cabral, Victor H. Lachos
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