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9781584886280 - Multiple Correspondence Analysis and Related Methods Chapman & Hall/crc Statistics in the Social and Behavioral Sciences (13 results)
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Multiple Correspondence Analysis And Related Methods
Book 26 of 40: Chapman & Hall/CRC Statistics in the Social and Behavioral SciencesLanguage: English
Published by Chapman and Hall/CRC, 2006
ISBN 10: 1584886285 ISBN 13: 9781584886280
Condition: New.
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Multiple Correspondence Analysis and Related Methods
Book 26 of 40: Chapman & Hall/CRC Statistics in the Social and Behavioral SciencesLanguage: English
Published by Taylor & Francis Group, 2006
ISBN 10: 1584886285 ISBN 13: 9781584886280
Condition: New. pp. 608 Index.
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Multiple Correspondence Analysis And Related Methods
Book 26 of 40: Chapman & Hall/CRC Statistics in the Social and Behavioral SciencesLanguage: English
Published by Chapman and Hall/CRC, 2006
ISBN 10: 1584886285 ISBN 13: 9781584886280
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 159.10
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Multiple Correspondence Analysis and Related Methods (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
Book 26 of 40: Chapman & Hall/CRC Statistics in the Social and Behavioral SciencesLanguage: English
Published by Chapman and Hall/CRC 2006-06-23, 2006
ISBN 10: 1584886285 ISBN 13: 9781584886280
Hardcover. Condition: New.
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Multiple Correspondence Analysis And Related Methods
Book 26 of 40: Chapman & Hall/CRC Statistics in the Social and Behavioral SciencesLanguage: English
Published by Chapman and Hall/CRC, 2006
ISBN 10: 1584886285 ISBN 13: 9781584886280
Condition: As New. Unread book in perfect condition.
-
Multiple Correspondence Analysis And Related Methods
Book 26 of 40: Chapman & Hall/CRC Statistics in the Social and Behavioral SciencesLanguage: English
Published by Chapman and Hall/CRC, 2006
ISBN 10: 1584886285 ISBN 13: 9781584886280
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 175.64
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Multiple Correspondence Analysis and Related Methods (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
Book 26 of 40: Chapman & Hall/CRC Statistics in the Social and Behavioral SciencesLanguage: English
Published by Chapman and Hall/CRC, 2006
ISBN 10: 1584886285 ISBN 13: 9781584886280
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 199.03
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Hardcover. Condition: Brand New. 1st edition. 581 pages. 9.50x6.00x1.25 inches. In Stock.
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Multiple Correspondence Analysis and Related Methods
Book 26 of 40: Chapman & Hall/CRC Statistics in the Social and Behavioral SciencesLanguage: English
Published by Taylor & Francis Group, 2006
ISBN 10: 1584886285 ISBN 13: 9781584886280
Condition: New. Print on Demand pp. 608 Illus. This item is printed on demand.
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Multiple Correspondence Analysis and Related Methods
Book 26 of 40: Chapman & Hall/CRC Statistics in the Social and Behavioral SciencesLanguage: English
Published by Taylor & Francis Group, 2006
ISBN 10: 1584886285 ISBN 13: 9781584886280
Condition: New. PRINT ON DEMAND pp. 608.
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Michael Greenacre, Jorg BlasiusAs 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 enc.
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Multiple Correspondence Analysis and Related Methods
Book 26 of 40: Chapman & Hall/CRC Statistics in the Social and Behavioral SciencesLanguage: English
Published by Chapman And Hall/CRC Jun 2006, 2006
ISBN 10: 1584886285 ISBN 13: 9781584886280
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 its theory, applications, and implementation.Multiple Correspondence Analysis and Related Methods gives a state-of-the-art description of this new field in an accessible, self-contained, textbook format. 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. The code and the datasets used in the book are available for download from a supporting Web page.Providing a unique, multidisciplinary perspective, experts in MCA from both statistics and the social sciences contributed chapters to the book. The editors unified the notation and coordinated and cross-referenced the theory across all of the chapters, making the book read seamlessly. Practical, accessible, and thorough, Multiple Correspondence Analysis and Related Methods brings the theory and applications of MCA under one cover and provides a valuable addition to your statistical toolbox. 606 pp. Englisch.
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Multiple Correspondence Analysis and Related Methods
Book 26 of 40: Chapman & Hall/CRC Statistics in the Social and Behavioral SciencesLanguage: English
Published by Chapman And Hall/CRC, 2006
ISBN 10: 1584886285 ISBN 13: 9781584886280
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 its theory, applications, and implementation.Multiple Correspondence Analysis and Related Methods gives a state-of-the-art description of this new field in an accessible, self-contained, textbook format. 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. The code and the datasets used in the book are available for download from a supporting Web page.Providing a unique, multidisciplinary perspective, experts in MCA from both statistics and the social sciences contributed chapters to the book. The editors unified the notation and coordinated and cross-referenced the theory across all of the chapters, making the book read seamlessly. Practical, accessible, and thorough, Multiple Correspondence Analysis and Related Methods brings the theory and applications of MCA under one cover and provides a valuable addition to your statistical toolbox.
