Abstract
In this paper, individual differences scaling (INDSCAL) is revisited, considering INDSCAL as being embedded within a hierarchy of individual difference scaling models. We explore the members of this family, distinguishing (i) models, (ii) the role of identification and substantive constraints, (iii) criteria for fitting models and (iv) algorithms to optimise the criteria. Model formulations may be based either on data that are in the form of proximities or on configurational matrices. In its configurational version, individual difference scaling may be formulated as a form of generalized Procrustes analysis. Algorithms are introduced for fitting the new models. An application from sensory evaluation illustrates the performance of the methods and their solutions.
Dokumententyp: | Paper |
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Keywords: | INDSCAL, Multidimensional scaling, Configuration matrices, Procrustes problems, Proximities, Three-way data, SMACOF. |
Fakultät: | Mathematik, Informatik und Statistik
Mathematik, Informatik und Statistik > Statistik Mathematik, Informatik und Statistik > Statistik > Technische Reports |
Themengebiete: | 500 Naturwissenschaften und Mathematik > 510 Mathematik |
URN: | urn:nbn:de:bvb:19-epub-15118-5 |
Sprache: | Englisch |
Dokumenten ID: | 15118 |
Datum der Veröffentlichung auf Open Access LMU: | 10. Mai 2013, 18:46 |
Letzte Änderungen: | 13. Aug. 2024, 11:44 |