Comparison of the EM, CEM and SEM algorithms in the estimation of finite mixtures of linear mixed models: a simulation study

Finite mixture models are a widely known method for modelling data that arise from a heterogeneous population. Within the family of mixtures of regression models, mixtures of linear mixed models have also been applied in different areas since, besides taking into consideration the heterogeneity in t...

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Detalhes bibliográficos
Autor principal: Novais, Luisa (author)
Outros Autores: Faria, Susana (author)
Formato: article
Idioma:eng
Publicado em: 2021
Assuntos:
Texto completo:http://hdl.handle.net/1822/74773
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/74773