Isbn: 9789811624728 - modern quantification theory: joint graphical display, biplots, and alternatives: 8 (15 risultati)

Modern Quantification Theory : Joint Graphical Display, Biplots, and Alternatives
Nishisato, Shizuhiko; Beh, Eric J.; Lombardo, Rosaria; Clavel, Jose G.
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 7 di 14 - Behaviormetrics: Quantitative Approaches to Human Behavior
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Modern Quantification Theory: Joint Graphical Display, Biplots, and Alternatives (Behaviormetrics: Quantitative Approaches to Human Behavior, 8)
Nishisato, Shizuhiko; Beh, Eric J.; Lombardo, Rosaria; Clavel, Jose G.
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 7 di 14 - Behaviormetrics: Quantitative Approaches to Human Behavior
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Modern Quantification Theory : Joint Graphical Display, Biplots, and Alternatives
Nishisato, Shizuhiko; Beh, Eric J.; Lombardo, Rosaria; Clavel, Jose G.
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 7 di 14 - Behaviormetrics: Quantitative Approaches to Human Behavior
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Modern Quantification Theory : Joint Graphical Display, Biplots, and Alternatives
Nishisato, Shizuhiko; Beh, Eric J.; Lombardo, Rosaria; Clavel, Jose G.
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 7 di 14 - Behaviormetrics: Quantitative Approaches to Human Behavior
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Modern Quantification Theory : Joint Graphical Display, Biplots, and Alternatives
Nishisato, Shizuhiko; Beh, Eric J.; Lombardo, Rosaria; Clavel, Jose G.
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 7 di 14 - Behaviormetrics: Quantitative Approaches to Human Behavior
- Brossura
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Modern Quantification Theory : Joint Graphical Display, Biplots, and Alternatives
Shizuhiko Nishisato, Jose G. Clavel, Rosaria Lombardo, Eric J. Beh
Lingua: Inglese
Editore: Springer Nature Singapore, 2022
Serie: Libro 7 di 14 - Behaviormetrics: Quantitative Approaches to Human Behavior
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Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This book offers a new look at well-established quantification theory for categorical data, referred to by such names as correspondence analysis, dual scaling, optimal scaling, and homogeneity analysis. These multiple identities are a consequence of its large number of properties that allow one to analyze and visualize the strength of variable association in an optimal solution. The book contains modern quantification theory for analyzing the association between two and more categorical variables in a variety of applicative frameworks. Visualization has attracted much attention over the past decades and given rise to controversial opinions. One may consider variations of plotting systems used in the construction of the classic correspondence plot, the biplot, the Carroll-Green-Schaffer scaling, or a new approach in doubled multidimensional space as presented in the book. There are even arguments for no visualization at all. The purpose of this book therefore is to shed new light on time-honored graphical procedures with critical reviews, new ideas, and future directions as alternatives. This stimulating volume is written with fresh new ideas from the traditional framework and the contemporary points of view. It thus offers readers a deep understanding of the ever-evolving nature of quantification theory and its practice. Part I starts with illustrating contingency table analysis with traditional joint graphical displays (symmetric, non-symmetric) and the CGS scaling and then explores logically correct graphs in doubled Euclidean space for both row and column variables. Part II covers a variety of mathematical approaches to the biplot strategy in graphing a data structure, providing a useful source for this modern approach to graphical display. Part II is also concerned with a number of alternative approaches to the joint graphical display such as bimodal cluster analysis and other statistical problems relevant to quantification theory.…

Modern Quantification Theory : Joint Graphical Display, Biplots, and Alternatives
Shizuhiko Nishisato, Jose G. Clavel, Rosaria Lombardo, Eric J. Beh
Lingua: Inglese
Editore: Springer Nature Singapore, 2022
Serie: Libro 7 di 14 - Behaviormetrics: Quantitative Approaches to Human Behavior
- Brossura
Da: Buchpark, Trebbin, GermaniaBuchpark
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Condizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book offers a new look at well-established quantification theory for categorical data, referred to by such names as correspondence analysis, dual scaling, optimal scaling, and homogeneity analysis. These multiple identities are a consequence of its large number of properties that allow one to analyze and visualize the strength of variable association in an optimal solution. The book contains modern quantification theory for analyzing the association between two and more categorical variables in a variety of applicative frameworks. Visualization has attracted much attention over the past decades and given rise to controversial opinions. One may consider variations of plotting systems used in the construction of the classic correspondence plot, the biplot, the Carroll-Green-Schaffer scaling, or a new approach in doubled multidimensional space as presented in the book. There are even arguments for no visualization at all. The purpose of this book therefore is to shed new light on time-honored graphical procedures with critical reviews, new ideas, and future directions as alternatives. This stimulating volume is written with fresh new ideas from the traditional framework and the contemporary points of view. It thus offers readers a deep understanding of the ever-evolving nature of quantification theory and its practice. Part I starts with illustrating contingency table analysis with traditional joint graphical displays (symmetric, non-symmetric) and the CGS scaling and then explores logically correct graphs in doubled Euclidean space for both row and column variables. Part II covers a variety of mathematical approaches to the biplot strategy in graphing a data structure, providing a useful source for this modern approach to graphical display. Part II is also concerned with a number of alternative approaches to the joint graphical display such as bimodal cluster analysis and other statistical problems relevant to quantification theory.…

Lingua: Inglese
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a new look at well-established quantification theory for categorical data, referred to by such names as correspondence analysis, dual scaling, optimal scaling, and homogeneity analysis. These multiple identities are a consequence of its large number of properties that allow one to analyze and visualize the strength of variable association in an optimal solution. The book contains modern quantification theory for analyzing the association between two and more categorical variables in a variety of applicative frameworks.Visualization has attracted much attention over the past decades and given rise to controversial opinions. One may consider variations of plotting systems used in the construction of the classic correspondence plot, the biplot, the Carroll-Green-Schaffer scaling, or a new approach in doubled multidimensional space as presented in the book. There are even arguments for no visualization at all.The purpose of this book therefore is to shed new light on time-honored graphical procedures with critical reviews, new ideas, and future directions as alternatives. This stimulating volume is written with fresh new ideas from the traditional framework and the contemporary points of view. It thus offers readers a deep understanding of the ever-evolving nature of quantification theory and its practice.Part I starts with illustrating contingency table analysis with traditional joint graphical displays (symmetric, non-symmetric) and the CGS scaling and then explores logically correct graphs in doubled Euclidean space for both row and column variables. Part II covers a variety of mathematical approaches to the biplot strategy in graphing a data structure, providing a useful source for this modern approach to graphical display. Part II is also concerned with a number of alternative approaches to the joint graphical display such as bimodal cluster analysis and other statistical problems relevant to quantification theory.…

Modern Quantification Theory: Joint Graphical Display, Biplots, and Alternatives: 8 (Behaviormetrics: Quantitative Approaches to Human Behavior, 8)
Nishisato, Shizuhiko; Beh, Eric J.; Lombardo, Rosaria; Clavel, Jose G.
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 7 di 14 - Behaviormetrics: Quantitative Approaches to Human Behavior
- Brossura
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Altre immaginiLingua: Inglese
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Serie: Libro 7 di 14 - Behaviormetrics: Quantitative Approaches to Human Behavior
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Taschenbuch. Condizione: Neu. Modern Quantification Theory | Joint Graphical Display, Biplots, and Alternatives | Shizuhiko Nishisato (u. a.) | Taschenbuch | xvii | Englisch | 2022 | Springer | EAN 9789811624728 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

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Lingua: Inglese
Editore: Springer Nature Singapore Jul 2022, 2022
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book offers a new look at well-established quantification theory for categorical data, referred to by such names as correspondence analysis, dual scaling, optimal scaling, and homogeneity analysis. These multiple identities are a consequence of its large number of properties that allow one to analyze and visualize the strength of variable association in an optimal solution. The book contains modern quantification theory for analyzing the association between two and more categorical variables in a variety of applicative frameworks.Visualization has attracted much attention over the past decades and given rise to controversial opinions. One may consider variations of plotting systems used in the construction of the classic correspondence plot, the biplot, the Carroll-Green-Schaffer scaling, or a new approach in doubled multidimensional space as presented in the book. There are even arguments for no visualization at all.The purpose of this book therefore is to shed new light on time-honored graphical procedures with critical reviews, new ideas, and future directions as alternatives. This stimulating volume is written with fresh new ideas from the traditional framework and the contemporary points of view. It thus offers readers a deep understanding of the ever-evolving nature of quantification theory and its practice.Part I starts with illustrating contingency table analysis with traditional joint graphical displays (symmetric, non-symmetric) and the CGS scaling and then explores logically correct graphs in doubled Euclidean space for both row and column variables. Part II covers a variety of mathematical approaches to the biplot strategy in graphing a data structure, providing a useful source for this modern approach to graphical display. Part II is also concerned with a number of alternative approaches to the joint graphical display such as bimodal cluster analysis and other statistical problems relevant to quantification theory. 252 pp. Englisch.…

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Editore: Springer, Berlin|Springer Nature Singapore|Springer, 2022
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book offers a new look at well-established quantification theory for categorical data, referred to by such names as correspondence analysis, dual scaling, optimal scaling, and homogeneity analysis. These multiple identities are a consequence of its .…

Lingua: Inglese
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book offers a new look at well-established quantification theory for categorical data, referred to by such names as correspondence analysis, dual scaling, optimal scaling, and homogeneity analysis. These multiple identities are a consequence of its large number of properties that allow one to analyze and visualize the strength of variable association in an optimal solution. The book contains modern quantification theory for analyzing the association between two and more categorical variables in a variety of applicative frameworks.Visualization has attracted much attention over the past decades and given rise to controversial opinions. One may consider variations of plotting systems used in the construction of the classic correspondence plot, the biplot, the Carroll-Green-Schaffer scaling, or a new approach in doubled multidimensional space as presented in the book. There are even arguments for no visualization at all.The purpose of this book therefore is to shed new light on time-honored graphical procedures with critical reviews, new ideas, and future directions as alternatives. This stimulating volume is written with fresh new ideas from the traditional framework and the contemporary points of view. It thus offers readers a deep understanding of the ever-evolving nature of quantification theory and its practice.Part I starts with illustrating contingency table analysis with traditional joint graphical displays (symmetric, non-symmetric) and the CGS scaling and then explores logically correct graphs in doubled Euclidean space for both row and column variables. Part II covers a variety of mathematical approaches to the biplot strategy in graphing a data structure, providing a useful source for this modern approach to graphical display. Part II is also concerned with a number of alternative approaches to the joint graphical display such as bimodal cluster analysis and other statistical problems relevant to quantification theory.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 252 pp. Englisch. …

Modern Quantification Theory: Joint Graphical Display, Biplots, and Alternatives: 8 (Behaviormetrics: Quantitative Approaches to Human Behavior, 8)
Nishisato, Shizuhiko; Beh, Eric J.; Lombardo, Rosaria; Clavel, Jose G.
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 7 di 14 - Behaviormetrics: Quantitative Approaches to Human Behavior
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