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Multiple Correspondence Analysis and Related Methods : Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences - Michael Greenacre

Multiple Correspondence Analysis and Related Methods

By: Michael Greenacre (Editor), Jorg Blasius (Editor)

eText | 23 June 2006 | Edition Number 1

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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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Non-FictionMathematicsProbability & StatisticsPsychologyPsychological MethodologyScienceBiology, Life SciencesComputing & I.T.Business ApplicationsMathematical & Statistical Software

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