Applied Multidimensional Scaling and Unfolding

This book introduces multidimensional scaling (MDS) and unfolding as data analysis techniques for applied researchers. MDS is used for the analysis of proximity data on a set of objects, representing the data as distances between points in a geometric space (usually of two dimensions). Unfolding is...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Borg, Ingwer (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Groenen, Patrick J.F (http://id.loc.gov/vocabulary/relators/aut), Mair, Patrick (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:2nd ed. 2018.
Σειρά:SpringerBriefs in Statistics,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 1 First steps
  • 2 The purpose of MDS and Unfolding
  • 3 The fit of MDS and Unfolding solutions
  • 4 Proximities
  • 5 Variants of MDS models
  • 6 Confirmatory MDS
  • 7 Typical mistakes in MDS
  • 8 Unfolding
  • 9 MDS algorithms
  • 10 MDS Software
  • Subject Index.