Asymptotic distribution of restricted canonical correlations and relevant resampling methods

被引:5
作者
Das, S [1 ]
Sen, PK [1 ]
机构
[1] UNIV N CAROLINA, CHAPEL HILL, NC USA
关键词
asymptotic normality; bias; bootstrap; canonical coefficients; consistency; inequality restrictions; jackknife; nonnegativity restrictions; variance; simulation;
D O I
10.1006/jmva.1996.0001
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
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. (C) 1996 Academic Press, Inc.
引用
收藏
页码:1 / 19
页数:19
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