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文章基本信息

  • 标题:Determining Predictor Importance In Multiple Regression Under Varied Correlational And Distributional Conditions
  • 本地全文:下载
  • 作者:Whittaker, Tiffany A. ; Fouladi, Rachel T. ; Williams, Natasha J.
  • 期刊名称:Journal of Modern Applied Statistical Methods
  • 出版年度:2002
  • 卷号:1
  • 期号:2
  • 页码:44
  • 出版社:Wayne State University
  • 摘要:This study examines the performance of eight methods of predictor importance under varied correlational and distributional conditions. The proportion of times a method correctly identified the dominant predictor was recorded. Results indicated that the new methods of importance proposed by Budescu (1993) and Johnson (2000) outperformed commonly used importance methods.
  • 关键词:Multiple Regression; Predictor Importance; Relative Importance; Multicollinearity
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