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Asymptotic Theory for Canonical Correlation Analysis

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Author Info
Anderson, T. W.
Abstract

The asymptotic distribution of the sample canonical correlations and coefficients of the canonical variates is obtained when the nonzero population canonical correlations are distinct and sampling is from the normal distribution. The asymptotic distributions are also obtained for reduced rank regression when one set of variables is treated as independent (stochastic or nonstochastic) and the other set as dependent. Earlier work is corrected.

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Publisher Info
Article provided by Elsevier in its journal Journal of Multivariate Analysis.

Volume (Year): 70 (1999)
Issue (Month): 1 (July)
Pages: 1-29
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Handle: RePEc:eee:jmvana:v:70:y:1999:i:1:p:1-29

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Related research
Keywords: canonical variates reduced rank regression maximum likelihood estimators test of rank.;

Cited by:
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  1. Jacques Dauxois & Guy Nkiet & Yves Romain, 2004. "Linear relative canonical analysis of Euclidean random variables, asymptotic study and some applications," Annals of the Institute of Statistical Mathematics, Springer, vol. 56(2), pages 279-304, June. [Downloadable!] (restricted)
  2. Zaka Ratsimalahelo, 2003. "Strongly Consistent Determination of the Rank of Matrix," Econometrics 0307007, EconWPA. [Downloadable!]
  3. Zaka Ratsimalahelo, 2003. "Strongly Consistent Determination of the Rank of Matrix," EERI Research Paper Series EERI_RP_2003_04, Economics and Econometrics Research Institute (EERI). [Downloadable!]
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