Asymptotic Distribution of Restricted Canonical Correlations and Relevant Resampling Methods
Shubhabrata Das and
Pranab Kumar Sen
Journal of Multivariate Analysis, 1996, vol. 56, issue 1, 1-19
Abstract:
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.
Keywords: asymptotic; normality; bias; bootstrap; canonical; coefficients; consistency; inequality; restrictions; jackknife; nonnegativity; restrictions; variance; simulation; (null) (search for similar items in EconPapers)
Date: 1996
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0047-259X(96)90001-9
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jmvana:v:56:y:1996:i:1:p:1-19
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Journal of Multivariate Analysis is currently edited by de Leeuw, J.
More articles in Journal of Multivariate Analysis from Elsevier
Bibliographic data for series maintained by Catherine Liu ().