Email this article Bootstrap confidence regions in non-symmetrical correspondence analysis
Abstract
Non-symmetric Correspondence analysis is a method increasingly used in place of classical correspondence analysis to portray the asymmetric association of two categorical variables. In this paper we investigate the reliability of graphical displays illustrating variable prediction, by looking at inferential aspects of the sampling variation of the configuration of points, using a bootstrap approach.
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