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  • 标题:A New F-Test Applicable to Large-Scale Data
  • 本地全文:下载
  • 作者:Mohsen Salehi ; Adel Mohammadpour ; Kerrie Mengersen
  • 期刊名称:Journal of Statistical Theory and Applications (JSTA)
  • 电子版ISSN:1538-7887
  • 出版年度:2019
  • 卷号:18
  • 期号:4
  • 页码:439-449
  • DOI:10.2991/jsta.d.191217.001
  • 语种:English
  • 出版社:Atlantis Press
  • 摘要:In large-scale multiple testing, the permutation test based on making a null statistic has been widely employed in the literature. Because it enables us to use the null permuted samples and estimate the p-value more accurately. Some test statistics, which can be modified to a null statistic, have been proposed for two independent groups. In this paper, we propose a new statistic and corresponding F-test, which can be applied for three or more groups. The simulation results demonstrate that the proposed method has a smaller interquartile range (IQR) than the usual permutation method and estimates p-values more accurately than its rival.
  • 关键词:Microarray data; Permutation test; Null statistic; F-test
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