论文信息 - BOOTSTRAP CONFIDENCE REGIONS IN NON-SYMMETRICAL CORRESPONDENCE ANALYSIS

BOOTSTRAP CONFIDENCE REGIONS IN NON-SYMMETRICAL CORRESPONDENCE ANALYSIS

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.

Rosaria Lombardo | Trevor J. Ringrose | R. Lombardo | T. Ringrose

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