Please use this identifier to cite or link to this item:
http://repositorio.ufla.br/jspui/handle/1/45432| Title: | Robust regression estimates in the prediction of latent variables in structural equation models |
| Keywords: | Accuracy Monte Carlo simulation Normal asymmetry Precision Métodos de regressão Modelagem de equações estruturais Simulação de Monte Carlo |
| Issue Date: | May-2012 |
| Publisher: | Wayne State University |
| Citation: | CIRILLO, M. A.; BARROSO, L. P. Robust regression estimates in the prediction of latent variables in structural equation models. Journal of Modern Applied Statistical Methods, [S.l.], v. 11, n. 1, p. 42-53, May 2012. DOI: 10.22237/jmasm/1335844980. |
| Abstract: | The incorporation of the robust regression methods Least Median Square (LMS) and Least Trimmed Squares (LTS) is proposed in structural equation modeling. Results show that, in situations of high deviations of symmetry, the evaluated methods would be recommended for applications including smaller sample sizes. |
| URI: | https://digitalcommons.wayne.edu/jmasm/vol11/iss1/4/ http://repositorio.ufla.br/jspui/handle/1/45432 |
| Appears in Collections: | DES - Artigos publicados em periódicos |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.