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- W2052968196 abstract "Abstract A mixture of regression models for multivariate observed variables which contextually involves a dimension reduction step through a linear factor model is proposed. The model estimation is performed via the EM-algorithm and a procedure to compute asymptotic standard errors for the parameter estimates is developed. The proposed approach is applied to the study of students satisfaction towards different aspects of their school as a function of various covariates." @default.
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- W2052968196 date "2011-05-01" @default.
- W2052968196 modified "2023-09-26" @default.
- W2052968196 title "Dimensionally reduced mixtures of regression models" @default.
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- W2052968196 doi "https://doi.org/10.1016/j.jspi.2010.11.024" @default.
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