9781584886280 - multiple correspondence analysis and related methods (13 risultati)
Lingua: Inglese
Editore: Chapman and Hall/CRC 2006
Serie: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences, Libro 26 di 40. Libro 26 di 40 - Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
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Hardcover. Condizione: New. In shrink wrap. Looks like an interesting title.
Lingua: Inglese
Editore: Chapman and Hall/CRC 2006
Serie: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences, Libro 26 di 40. Libro 26 di 40 - Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
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Lingua: Inglese
Editore: Chapman and Hall/CRC 2006
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Lingua: Inglese
Editore: Chapman and Hall/CRC 2006
Serie: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences, Libro 26 di 40. Libro 26 di 40 - Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
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Lingua: Inglese
Editore: Chapman and Hall/CRC 2006
Serie: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences, Libro 26 di 40. Libro 26 di 40 - Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
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Condizione: New.
Lingua: Inglese
Editore: Taylor & Francis Group 2006
Serie: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences, Libro 26 di 40. Libro 26 di 40 - Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
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Condizione: New. pp. 608 Index.
Lingua: Inglese
Editore: Chapman and Hall/CRC 2006
Serie: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences, Libro 26 di 40. Libro 26 di 40 - Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
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Condizione: New. In.
Lingua: Inglese
Editore: Chapman & Hall 2006
Serie: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences, Libro 26 di 40. Libro 26 di 40 - Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
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Hardcover. Condizione: Brand New. 1st edition. 581 pages. 9.50x6.00x1.25 inches. In Stock.
Lingua: Inglese
Editore: Taylor & Francis Group 2006
Serie: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences, Libro 26 di 40. Libro 26 di 40 - Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
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Condizione: New. pp. 608 Illus. This item is printed on demand.
Lingua: Inglese
Editore: CRC Press 2006
Serie: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences, Libro 26 di 40. Libro 26 di 40 - Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
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Gebunden. Condizione: 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.
Lingua: Inglese
Editore: Chapman And Hall/CRC Jun 2006 2006
Serie: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences, Libro 26 di 40. Libro 26 di 40 - Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: 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 soc…ial 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.
Lingua: Inglese
Editore: Taylor & Francis Group 2006
Serie: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences, Libro 26 di 40. Libro 26 di 40 - Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
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Da: Biblios, frankfurt am main, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND pp. 608.
Lingua: Inglese
Editore: Chapman And Hall/CRC 2006
Serie: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences, Libro 26 di 40. Libro 26 di 40 - Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: 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 s…ciences, 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.
