Modern Multidimensional Scaling Theory and Applications /

The book provides a comprehensive treatment of multidimensional scaling (MDS), a family of statistical techniques for analyzing the structure of (dis)similarity data. Such data are widespread, including, for example, intercorrelations of survey items, direct ratings on the similarity on choice objec...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Borg, I. (Autor), Groenen, P. J. F. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2005.
Edición:2nd ed. 2005.
Colección:Springer Series in Statistics,
Temas:
Social sciences-Statistical methods.
Marketing.
Pattern recognition systems.
Mathematical statistics-Data processing.
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.
Automated Pattern Recognition.
Statistics and Computing.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Fundamentals of MDS
  • The Four Purposes of Multidimensional Scaling
  • Constructing MDS Representations
  • MDS Models and Measures of Fit
  • Three Applications of MDS
  • MDS and Facet Theory
  • How to Obtain Proximities
  • MDS Models and Solving MDS Problems
  • Matrix Algebra for MDS
  • A Majorization Algorithm for Solving MDS
  • Metric and Nonmetric MDS
  • Confirmatory MDS
  • MDS Fit Measures, Their Relations, and Some Algorithms
  • Classical Scaling
  • Special Solutions, Degeneracies, and Local Minima
  • Unfolding
  • Unfolding
  • Avoiding Trivial Solutions in Unfolding
  • Special Unfolding Models
  • MDS Geometry as a Substantive Model
  • MDS as a Psychological Model
  • Scalar Products and Euclidean Distances
  • Euclidean Embeddings
  • MDS and Related Methods
  • Procrustes Procedures
  • Three-Way Procrustean Models
  • Three-Way MDS Models
  • Modeling Asymmetric Data
  • Methods Related to MDS.

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