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  • 标题:RELATIONSHIPS BETWEEN REDUNDANCY ANALYSIS AND CANONICAL REGRESSION ANALYSIS
  • 本地全文:下载
  • 作者:Takayuki Saito
  • 期刊名称:JOURNAL OF THE JAPAN STATISTICAL SOCIETY
  • 印刷版ISSN:1882-2754
  • 电子版ISSN:1348-6365
  • 出版年度:1995
  • 卷号:25
  • 期号:1
  • 页码:111-119
  • DOI:10.14490/jjss1995.25.111
  • 出版社:JAPAN STATISTICAL SOCIETY
  • 摘要:This paper aims to clarify the relationships between redundnacy analysis (RDA) and canonical regression analysis (CRA). Focusing on the comparison in terms of goodness of fit, RDA is found to be more advantageous than CRA. Bounds of redundancy indexes are evaluated and numerical examples are provided for illustration.
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