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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语言 英语 ● 格式 PDF ● 网页 608 ● ISBN 9781420011319 ● 编辑 Jorg Blasius & Michael Greenacre ● 出版者 CRC Press ● 发布时间 2006 ● 下载 3 时 ● 货币 EUR ● ID 5696742 ● 复制保护 Adobe DRM
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