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文章基本信息

  • 标题:An Adaptive Inference Strategy: The Case of Auditory Data
  • 本地全文:下载
  • 作者:Zumbo, Bruno D.
  • 期刊名称:Journal of Modern Applied Statistical Methods
  • 出版年度:2002
  • 卷号:1
  • 期号:1
  • 页码:9
  • 出版社:Wayne State University
  • 摘要:By way of an example some of the basic features in the derivation and use of adaptive inferential methods are demonstrated. The focus of this paper is dyadic (coupled) data in auditory and perceptual research. We present: (a) why one should not use the conventional methods, (b) a derivation of an adaptive method, and (c) how the new adaptive method works with the example data. In the concluding remarks we draw attention to the work of Professor George Barnard who provided the adaptive inference strategy in the context of the Behrens-Fisher problem -- testing the equality of means when one doesn't want to assume that the variances are equal.
  • 关键词:Robustness; Inference; Statistical assumptions
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