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  • 标题:JMASM 47: ANOVA_HOV: A SAS Macro for Testing Homogeneity of Variance in One-Factor ANOVA Models (SAS)
  • 本地全文:下载
  • 作者:Li, Isaac ; Chen, Yi-Hsin ; Wang, Yan
  • 期刊名称:Journal of Modern Applied Statistical Methods
  • 出版年度:2017
  • 卷号:16
  • 期号:2
  • 页码:28
  • 出版社:Wayne State University
  • 摘要:Variance homogeneity (HOV) is a critical assumption for ANOVA whose violation may lead to perturbations in Type I error rates. Minimal consensus exists on selecting an appropriate test. This SAS macro implements 14 different HOV approaches in one-way ANOVA. Examples are given and practical issues discussed.
  • 关键词:ANOVA; homogeneity; SAS
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