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文章基本信息

  • 标题:Robustness to non-normality of various tests for the one-sample location problem
  • 本地全文:下载
  • 作者:Michelle K. McDougall ; Glen D. Rayner
  • 期刊名称:Advances in Decision Sciences
  • 印刷版ISSN:2090-3359
  • 电子版ISSN:2090-3367
  • 出版年度:2004
  • 卷号:8
  • 期号:4
  • 页码:235-246
  • DOI:10.1155/S117391260400015X
  • 出版社:Hindawi Publishing Corporation
  • 摘要:

    This paper studies the effect of the normal distribution assumption on the power and size of the sign test, Wilcoxon's signed rank test and the t -test when used in one-sample location problems. Power functions for these tests under various skewness and kurtosis conditions are produced for several sample sizes from simulated data using the g -and- k distribution of MacGillivray and Cannon [5].

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