Asymptotic Distribution of Restricted Canonical Correlations and Relevant Resampling Methods
As restricted canonical correlation with a nonnegativity condition on the coefficients depend only on the covariance matrix, their sample counterparts can be obtained from the sample covariance matrix. For such estimators, asymptotic normality results are established, and the role of resampling methods in this context is critically examined. The effectiveness of the usual jackknife and bootstrap methods is studied analytically, and the findings are supplemented by numerical studies.
Year of publication: |
1996
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Authors: | Das, Shubhabrata ; Sen, Pranab Kumar |
Published in: |
Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 56.1996, 1, p. 1-19
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Publisher: |
Elsevier |
Keywords: | asymptotic normality bias bootstrap canonical coefficients consistency inequality restrictions jackknife nonnegativity restrictions variance simulation (null) |
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