Multiple Correspondence Analysis and Related Methods PDF
Edited by Michael Greenacre, Jorg Blasius
Part of the Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences series
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Description
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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Download Now
- Format:PDF
- Pages:608 pages
- Publisher:CRC Press
- Publication Date:23/06/2006
- Category:
- ISBN:9781420011319
Information
-
Download Now
- Format:PDF
- Pages:608 pages
- Publisher:CRC Press
- Publication Date:23/06/2006
- Category:
- ISBN:9781420011319
