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Language: English
Published by T And F India, 2025
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Hardcover. Condition: New. ISBN:9780367241032,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032924187 ISBN 13: 9781032924182
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Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032924187 ISBN 13: 9781032924182
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Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032924187 ISBN 13: 9781032924182
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032924187 ISBN 13: 9781032924182
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032924187 ISBN 13: 9781032924182
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Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032924187 ISBN 13: 9781032924182
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Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032924187 ISBN 13: 9781032924182
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Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 272 pages. 9.18x6.12x9.21 inches. In Stock.
Language: English
Published by Chapman and Hall/CRC, 2014
ISBN 10: 1482205475 ISBN 13: 9781482205473
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Language: English
Published by Chapman and Hall/CRC, 2014
ISBN 10: 1482205475 ISBN 13: 9781482205473
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Language: English
Published by Chapman and Hall/CRC, 2014
ISBN 10: 1482205475 ISBN 13: 9781482205473
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by Chapman and Hall/CRC, 2014
ISBN 10: 1482205475 ISBN 13: 9781482205473
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by Apple Academic Press Inc., 2014
ISBN 10: 1482205475 ISBN 13: 9781482205473
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Language: English
Published by Chapman and Hall/CRC, 2014
ISBN 10: 1482205475 ISBN 13: 9781482205473
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Condition: Used: Good. Occasion - Bon Etat - Multiple factor analysis by example using R (2014) - Grand Format.
Language: English
Published by Taylor & Francis, Chapman And Hall/CRC, 2024
ISBN 10: 1032924187 ISBN 13: 9781032924182
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the theoretical and methodological aspects of MFA. It also includes examples of applications and details of how to implement MFA using an R package (FactoMineR).The first two chapters cover the basic factorial analysis methods of principal component analysis (PCA) and multiple correspondence analysis (MCA). The next chapter discusses factor analysis for mixed data (FAMD), a little-known method for simultaneously analyzing quantitative and qualitative variables without group distinction. Focusing on MFA, subsequent chapters examine the key points of MFA in the context of quantitative variables as well as qualitative and mixed data. The author also compares MFA and Procrustes analysis and presents a natural extension of MFA: hierarchical MFA (HMFA). The final chapter explores several elements of matrix calculation and metric spaces used in the book. 272 pp. Englisch.
Language: English
Published by Taylor & Francis, Chapman And Hall/CRC, 2024
ISBN 10: 1032924187 ISBN 13: 9781032924182
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the theoretical and methodological aspects of MFA. It also includes examples of applications and details of how to implement MFA using an R package (FactoMineR).The first two chapters cover the basic factorial analysis methods of principal component analysis (PCA) and multiple correspondence analysis (MCA). The next chapter discusses factor analysis for mixed data (FAMD), a little-known method for simultaneously analyzing quantitative and qualitative variables without group distinction. Focusing on MFA, subsequent chapters examine the key points of MFA in the context of quantitative variables as well as qualitative and mixed data. The author also compares MFA and Procrustes analysis and presents a natural extension of MFA: hierarchical MFA (HMFA). The final chapter explores several elements of matrix calculation and metric spaces used in the book.
Language: English
Published by Apple Academic Press Inc., 2014
ISBN 10: 1482205475 ISBN 13: 9781482205473
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
£ 112.03
Quantity: Over 20 available
Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Language: English
Published by Chapman And Hall/CRC, 2014
ISBN 10: 1482205475 ISBN 13: 9781482205473
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of the methodology, this book brings together the theoretical and methodological aspects of MFA. It also covers principal component analysis, multiple correspondence analysis, factor analysis for mixed data, hierarchical MFA, and more. The book also includes examples of applications and details on how to implement MFA using an R package, with the data and R scripts available online.