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Sinopsis
Requiring no prior knowledge of correspondence analysis, this text provides a nontechnical introduction to Multiple Correspondence Analysis (MCA) as a method in its own right. The authors, Brigitte LeRoux and Henry Rouanet, present thematerial in a practical manner, keeping the needs of researchers foremost in mind.
Key Features
- Readers learn how to construct geometric spaces from relevant data, formulate questions of interest, and link statistical interpretation to geometric representations.
- They also learn how to perform structured data analysis and to draw inferential conclusions from MCA.
- The text uses real examples to help explain concepts.
- The authors stress the distinctive capacity of MCA to handle full-scale research studies.
This supplementary text is appropriate for any graduate-level, intermediate, or advanced statistics course across the social and behavioral sciences, as well as for individual researchers.
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Acerca del autor
Brigitte Le Roux has a doctorate in mathematics (specialty Statistics) (Faculty of Sciences in Paris, 1970) and holds an HDR in Applied Mathematics (University of Paris Dauphine, 2000). She is a member of the laboratory MAP5 (Applied Mathematics Paris 5) of the University Paris Descartes. His research focuses on the geometric data analysis and its applications in social sciences and in particular to the analysis of questionnaires.
Brigitte Le Roux is a member of the editorial board of the journal Mathematics and Humanities and the Acts of Research in Social Sciences.
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Multiple Correspondence Analysis: 163 (Quantitative Applications in the Social Sciences)
Publicado por
SAGE Publications, Inc, 2009
ISBN 10: 1412968976
ISBN 13: 9781412968973
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Multiple Correspondence Analysis
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Multiple Correspondence Analysis
Publicado por
SAGE Publications Inc, US, 2010
ISBN 10: 1412968976
ISBN 13: 9781412968973
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Paperback. Condición: New. 1st. Requiring no prior knowledge of correspondence analysis, this text provides a nontechnical introduction to Multiple Correspondence Analysis (MCA) as a method in its own right. The authors, Brigitte LeRoux and Henry Rouanet, present thematerial in a practical manner, keeping the needs of researchers foremost in mind.Key FeaturesReaders learn how to construct geometric spaces from relevant data, formulate questions of interest, and link statistical interpretation to geometric representations.They also learn how to perform structured data analysis and to draw inferential conclusions from MCA.The text uses real examples to help explain concepts.The authors stress the distinctive capacity of MCA to handle full-scale research studies.This supplementary text is appropriate for any graduate-level, intermediate, or advanced statistics course across the social and behavioral sciences, as well as for individual researchers. Nº de ref. del artículo: LU-9781412968973
Cantidad disponible: 3 disponibles
Imagen del vendedor
Multiple Correspondence Analysis
Publicado por
SAGE Publications Inc, US, 2010
ISBN 10: 1412968976
ISBN 13: 9781412968973
Nuevo
Paperback
Original o primera edición
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: New. 1st. Requiring no prior knowledge of correspondence analysis, this text provides a nontechnical introduction to Multiple Correspondence Analysis (MCA) as a method in its own right. The authors, Brigitte LeRoux and Henry Rouanet, present thematerial in a practical manner, keeping the needs of researchers foremost in mind.Key FeaturesReaders learn how to construct geometric spaces from relevant data, formulate questions of interest, and link statistical interpretation to geometric representations.They also learn how to perform structured data analysis and to draw inferential conclusions from MCA.The text uses real examples to help explain concepts.The authors stress the distinctive capacity of MCA to handle full-scale research studies.This supplementary text is appropriate for any graduate-level, intermediate, or advanced statistics course across the social and behavioral sciences, as well as for individual researchers. Nº de ref. del artículo: LU-9781412968973
Cantidad disponible: 3 disponibles
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Multiple Correspondence Analysis
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SAGE Publications Inc, 2009
ISBN 10: 1412968976
ISBN 13: 9781412968973
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Multiple Correspondence Analysis
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SAGE Publications, Inc, 2009
ISBN 10: 1412968976
ISBN 13: 9781412968973
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Multiple Correspondence Analysis: Vol 163
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Multiple Correspondence Analysis
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SAGE Publications, Inc, 2009
ISBN 10: 1412968976
ISBN 13: 9781412968973
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Multiple Correspondence Analysis
Publicado por
SAGE Publications, Inc, 2009
ISBN 10: 1412968976
ISBN 13: 9781412968973
Nuevo
Tapa blanda
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Condición: New. Nº de ref. del artículo: 7097071-n
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Multiple Correspondence Analysis
Publicado por
SAGE Publications, Inc, 2009
ISBN 10: 1412968976
ISBN 13: 9781412968973
Antiguo o usado
Tapa blanda
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 7097071
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