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DC Field | Value | Language |
---|---|---|
dc.creator | Cirillo, Marcelo Angelo | - |
dc.creator | Barroso, Lúcia Pereira | - |
dc.date.accessioned | 2020-11-09T20:23:36Z | - |
dc.date.available | 2020-11-09T20:23:36Z | - |
dc.date.issued | 2012-05 | - |
dc.identifier.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. | pt_BR |
dc.identifier.uri | https://digitalcommons.wayne.edu/jmasm/vol11/iss1/4/ | pt_BR |
dc.identifier.uri | http://repositorio.ufla.br/jspui/handle/1/45432 | - |
dc.description.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. | pt_BR |
dc.language | en_US | pt_BR |
dc.publisher | Wayne State University | pt_BR |
dc.rights | restrictAccess | pt_BR |
dc.source | Journal of Modern Applied Statistical Methods | pt_BR |
dc.subject | Accuracy | pt_BR |
dc.subject | Monte Carlo simulation | pt_BR |
dc.subject | Normal asymmetry | pt_BR |
dc.subject | Precision | pt_BR |
dc.subject | Métodos de regressão | pt_BR |
dc.subject | Modelagem de equações estruturais | pt_BR |
dc.subject | Simulação de Monte Carlo | pt_BR |
dc.title | Robust regression estimates in the prediction of latent variables in structural equation models | pt_BR |
dc.type | Artigo | pt_BR |
Appears in Collections: | DES - Artigos publicados em periódicos |
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