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Multiple Correspondence Analysis and Related Methods (English, Michael Greenacre | Jorg Blasius)
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Specifications
| Publisher | Chapman and Hall/CRC |
| Language | English |
| ISBN-13 | 9781584886280 |
| ISBN-10 | 1584886285 |
| Author | Michael Greenacre | Jorg Blasius |
Product Description
About the Book
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 subject has been scattered, leaving many in these fields no comprehensive resource from which to learn…
ISBN: 9781584886280
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Multiple Correspondence Analysis and Related Methods
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Chapman and Hall/CRC
Who Should Read This
Students and professionals interested in Chapman and Hall/CRC, as well as general readers looking to expand their knowledge.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
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Multiple Correspondence Analysis and Related Methods is available in English on GlowMirror.
Who is the author of Multiple Correspondence Analysis and Related Methods?
Multiple Correspondence Analysis and Related Methods is authored by Michael Greenacre | Jorg Blasius.
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Multiple Correspondence Analysis and Related Methods is published by Chapman and Hall/CRC.
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What is Multiple Correspondence Analysis and Related Methods about?
About the Book
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, an...
Is Multiple Correspondence Analysis and Related Methods suitable for beginners?
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