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...
| Κύριοι συγγραφείς: | , |
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| Συγγραφή απο Οργανισμό/Αρχή: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
New York, NY :
Springer New York,
2005.
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| Έκδοση: | Second Edition. |
| Σειρά: | Springer Series in Statistics,
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| 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.