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  • 标题:A Randomization Method to Control the Type I Error Rates in Best Subset Regression
  • 本地全文:下载
  • 作者:Shehata, Yasser A. ; White, Paul
  • 期刊名称:Journal of Modern Applied Statistical Methods
  • 出版年度:2008
  • 卷号:7
  • 期号:2
  • 页码:5
  • 出版社:Wayne State University
  • 摘要:A randomization method for the assessment of statistical significance for best subsets regression is given. The procedure takes into account the number of potential predictors and the inter-dependence between predictors. The approach corrects a non-trivial problem with Type I errors and can be used to assess individual variable significance.
  • 关键词:best subset regression; randomization; Type I error; bias
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