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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Society & social sciences Sociology & anthropology Sociology

• Plný název: Modern Quantification Theory
• Podnázev: Joint Graphical Display, Biplots, and Alternatives
• Autor: Shizuhiko Nishisato, Eric J. Beh, Rosaria Lombardo, Jose G. Clavel
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 231
• EAN: 9789811624728
• ID: 39367330
• Nakladatelství: Springer Verlag, Singapore
• Hmotnost: 391 g
• Rozměry: 235 × 155 × 14 mm
• Datum vydání: 24. July 2022

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