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  • 标题:THE RC (M) ASSOCIATION MODEL AND CANONICAL CORRELATION ANALYSIS
  • 本地全文:下载
  • 作者:Nobuoki Eshima ; Minoru Tabata
  • 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:1997
  • 卷号:27
  • 期号:1
  • 页码:109-120
  • DOI:10.14490/jjss1995.27.109
  • 出版社:JAPAN STATISTICAL SOCIETY
  • 摘要:This paper considers the utility of the RC ( M ) association model for analysing association between two sets of ordinal variables. It is shown that the RC ( M ) association model approximates the discretized multivariate normal distribution and that the association model relates to canonical correlation analysis. Numerical examples demonstrate the present discussion.
  • 关键词:Association model;Canonical correlation analysis;Canonical categorical variable;Multivariate normal distribution
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