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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Bibliographic Details
Main Author: Novais, Luisa (author)
Other Authors: Faria, Susana (author)
Format: article
Language:eng
Published: 2021
Subjects:
Mixtures models
Maximum likelihood estimation
Iterative algorithms
Mixture models
Ciências Naturais::Matemáticas
Science & Technology
Saúde de qualidade
Online Access:http://hdl.handle.net/1822/74773
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/74773

Internet

http://hdl.handle.net/1822/74773

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