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文章基本信息

  • 标题:Robust Regression Estimates in the Prediction of Latent Variables in Structural Equation Models
  • 本地全文:下载
  • 作者:Cirillo, Marcelo Angelo ; Barroso, Lúcia Pereira
  • 期刊名称:Journal of Modern Applied Statistical Methods
  • 出版年度:2012
  • 卷号:11
  • 期号:1
  • 页码:4
  • 出版社:Wayne State University
  • 摘要: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.
  • 关键词:Accuracy; Monte Carlo simulation; normal asymmetry; precision
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