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  • 标题:JMASM 26: Hettmansperger and Mckean Linear Model Aligned Rank Test for the Single Covariate and One-Way ANCOVA Case (SAS)
  • 本地全文:下载
  • 作者:Nakonezny, Paul A. ; Shull, Robert D.
  • 期刊名称:Journal of Modern Applied Statistical Methods
  • 出版年度:2007
  • 卷号:6
  • 期号:1
  • 页码:32
  • 出版社:Wayne State University
  • 摘要:A SAS program (SAS 9.1.3 release, SAS Institute, Cary, N.C.) is presented to implement the Hettmansperger and McKean (1983) linear model aligned rank test (nonparametric ANCOVA) for the single covariate and one-way ANCOVA case. As part of this program, SAS code is also provided to derive the residuals from the regression of Y on X (which is step 1 in the Hettmansperger and McKean procedure) using either ordinary least squares regression (proc reg in SAS) or robust regression with MM estimation (proc robustreg in SAS).
  • 关键词:Aligned ranks; ANCOVA; SAS; nonparametric
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