| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10525111 | Journal of Statistical Planning and Inference | 2011 | 9 Pages |
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.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Angela Montanari, Cinzia Viroli,