Multiple Correspondence Analysis and Related Methods
Michael Greenacre · Jorg Blasius
Jun 2006 · CRC Press
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About this ebook
As a generalization of simple correspondence analysis, multiple correspondence analysis (MCA) is a powerful technique for handling larger, more complex datasets, including the high-dimensional categorical data often encountered in the social sciences, marketing, health economics, and biomedical research. Until now, however, the literature on the su
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Michael Greenacre, Jorg Blasius
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