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  • 标题:Testing axial symmetry by means of directional regression quantiles
  • 本地全文:下载
  • 作者:Šárka Hudecová ; Miroslav Šiman
  • 期刊名称:Electronic Journal of Statistics
  • 印刷版ISSN:1935-7524
  • 出版年度:2021
  • 卷号:15
  • 期号:1
  • 页码:2690-2715
  • DOI:10.1214/21-EJS1850
  • 语种:English
  • 出版社:Institute of Mathematical Statistics
  • 摘要:The article describes how directional quantiles can be useful for testing the null hypothesis that a multivariate distribution is symmetric around a line in a given direction. It also generalizes the proposed tests to residual distributions in a linear regression setup, discusses their use for statistical inference regarding equality of distributions, equality of scale, or exchangeability, and illustrates the achievements with carefully designed pictures and examples.
  • 关键词:62H15; 62J99; Axial symmetry; directional quantile; exchangeability; permutation symmetry; Quantile regression; symmetry around a line
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