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IT Certification Michael Greenacre, Jorg Blasius. Multiple Correspondence Analysis and Related Methods
Posted on 2010-04-12
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More Michael Greenacre, Jorg Blasius. Multiple Correspondence Analysis and Related Methods (Statistics in the Social and Behavioral Sciences) 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. Explaining the methodology step-by-step, it offers an exhaustive survey of the different approaches taken by researchers from different statistical "schools" and explores a wide variety of application areas. Each chapter includes empirical examples that provide a practical understanding of the method and its interpretation, and most chapters end with a "Software Note" that discusses software and computational aspects. An appendix at the end of the book gives further computing details along with code written in the R language for performing MCA and related techniques. reloaded 28/12/2008 Next publ. : reloaded 28/12/2008
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