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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Borg, Ingwer (Συγγραφέας), Groenen, Patrick J. F. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York, 2005.
Έκδοση:Second Edition.
Σειρά:Springer Series in Statistics,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.