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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Bahasa Inggris ● Format PDF ● Halaman 608 ● ISBN 9781420011319 ● Editor Jorg Blasius & Michael Greenacre ● Penerbit CRC Press ● Diterbitkan 2006 ● Diunduh 3 kali ● Mata uang EUR ● ID 5696742 ● Perlindungan salinan Adobe DRM
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