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Geometric Data Analysis: From Correspondence Analysis to Structured Data Analysis - Couverture rigide
Synopsis
Geometric Data Analysis (GDA) is the name suggested by P. Suppes (Stanford University) to designate the approach to Multivariate Statistics initiated by Benzécri as Correspondence Analysis, an approach that has become more and more used and appreciated over the years. This book presents the full formalization of GDA in terms of linear algebra - the most original and far-reaching consequential feature of the approach - and shows also how to integrate the standard statistical tools such as Analysis of Variance, including Bayesian methods. Chapter 9, Research Case Studies, is nearly a book in itself; it presents the methodology in action on three extensive applications, one for medicine, one from political science, and one from education (data borrowed from the Stanford computer-based Educational Program for Gifted Youth ). Thus the readership of the book concerns both mathematicians interested in the applications of mathematics, and researchers willing to master an exceptionally powerful approach of statistical data analysis.
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- ÉditeurSpringer-Verlag New York Inc.
- Date d'édition2004
- ISBN 10 1402022352
- ISBN 13 9781402022357
- ReliureRelié
- Langueanglais
- Nombre de pages475
- Coordonnées du fabricantnon disponible
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Geometric Data Analysis: From Correspondence Analysis to Structured Data Analysis
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Springer, 2004
ISBN 10 : 1402022352
ISBN 13 : 9781402022357
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Couverture rigide
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Geometric Data Analysis: From Correspondence Analysis to Structured Data Analysis
Edité par
Springer, 2004
ISBN 10 : 1402022352
ISBN 13 : 9781402022357
Ancien ou d'occasion
Couverture rigide
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Geometric Data Analysis: From Correspondence Analysis to Structured Data Analysis
Edité par
Springer, 2004
ISBN 10 : 1402022352
ISBN 13 : 9781402022357
Ancien ou d'occasion
Couverture rigide
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Geometric Data Analysis
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Springer Netherlands, 2004
ISBN 10 : 1402022352
ISBN 13 : 9781402022357
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Geometric Data Analysis
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Springer Netherlands Jun 2004, 2004
ISBN 10 : 1402022352
ISBN 13 : 9781402022357
Neuf
Couverture rigide
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Geometric Data Analysis (GDA) is the name suggested by P. Suppes (Stanford University) to designate the approach to Multivariate Statistics initiated by Benzécri as Correspondence Analysis, an approach that has become more and more used and appreciated over the years. This book presents the full formalization of GDA in terms of linear algebra - the most original and far-reaching consequential feature of the approach - and shows also how to integrate the standard statistical tools such as Analysis of Variance, including Bayesian methods. Chapter 9, Research Case Studies, is nearly a book in itself; it presents the methodology in action on three extensive applications, one for medicine, one from political science, and one from education (data borrowed from the Stanford computer-based Educational Program for Gifted Youth ). Thus the readership of the book concerns both mathematicians interested in the applications of mathematics, and researchers willing to master an exceptionally powerful approach of statistical data analysis. 488 pp. Englisch. N° de réf. du vendeur 9781402022357
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Geometric Data Analysis
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Springer Netherlands, Springer Netherlands Jun 2004, 2004
ISBN 10 : 1402022352
ISBN 13 : 9781402022357
Neuf
Couverture rigide
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Buch. Etat : Neu. Neuware -Geometric Data Analysis (GDA) is the name suggested by P. Suppes (Stanford University) to designate the approach to Multivariate Statistics initiated by Benzécri as Correspondence Analysis, an approach that has become more and more used and appreciated over the years. This book presents the full formalization of GDA in terms of linear algebra - the most original and far-reaching consequential feature of the approach - and shows also how to integrate the standard statistical tools such as Analysis of Variance, including Bayesian methods. Chapter 9, Research Case Studies, is nearly a book in itself; it presents the methodology in action on three extensive applications, one for medicine, one from political science, and one from education (data borrowed from the Stanford computer-based Educational Program for Gifted Youth ). Thus the readership of the book concerns both mathematicians interested in the applications of mathematics, and researchers willing to master an exceptionally powerful approach of statistical data analysis.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 488 pp. Englisch. N° de réf. du vendeur 9781402022357
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Geometric Data Analysis : From Correspondence Analysis to Structured Data Analysis
Edité par
Springer Netherlands, Springer Netherlands, 2004
ISBN 10 : 1402022352
ISBN 13 : 9781402022357
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Geometric Data Analysis (GDA) is the name suggested by P. Suppes (Stanford University) to designate the approach to Multivariate Statistics initiated by Benzécri as Correspondence Analysis, an approach that has become more and more used and appreciated over the years. This book presents the full formalization of GDA in terms of linear algebra - the most original and far-reaching consequential feature of the approach - and shows also how to integrate the standard statistical tools such as Analysis of Variance, including Bayesian methods. Chapter 9, Research Case Studies, is nearly a book in itself; it presents the methodology in action on three extensive applications, one for medicine, one from political science, and one from education (data borrowed from the Stanford computer-based Educational Program for Gifted Youth ). Thus the readership of the book concerns both mathematicians interested in the applications of mathematics, and researchers willing to master an exceptionally powerful approach of statistical data analysis. N° de réf. du vendeur 9781402022357
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Geometric Data Analysis
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Geometric Data Analysis: From Correspondence Analysis to Structured Data Analysis
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Geometric Data Analysis: From Correspondence Analysis to Structured Data Analysis
Edité par
Springer, 2004
ISBN 10 : 1402022352
ISBN 13 : 9781402022357
Ancien ou d'occasion
Couverture rigide
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