Some clarifications of the TUCKALS2 algorithm applied to the IDIOSCAL problem

Autor:	Paul A. Bekker, Jos M. F. ten Berge, Henk A.L. Kiers
Přispěvatelé:	Psychometrics and Statistics
Rok vydání:	1994
Předmět:	CANDECOMP Goodness of fit IDIOSCAL TUCKALS2 Applied Mathematics Context (language use) Algorithm PARAFAC General Psychology Eigenvalues and eigenvectors Counterexample Mathematics
Zdroj:	Psychometrika, 59(2), 193-201. SPRINGER
ISSN:	1860-0980 0033-3123
DOI:	10.1007/bf02295183
Popis:	Kroonenberg and de Leeuw have suggested fitting the IDIOSCAL model by the TUCKALS2 algorithm for three-way components analysis. In theory, this is problematic because TUCKALS2 produces two possibly different coordinate matrices, that are useless for IDIOSCAL unless they are equal. Kroonenberg has claimed that, when IDIOSCAL is fitted by TUCKALS2, the resulting coordinate matrices will be identical. In the present paper, this claim is proven valid when the data matrices are semidefinite. However, counterexamples for indefinite matrices are also constructed, by examining the global minimum in the case where the data matrices have the same eigenvectors. Similar counterexamples have been considered by ten Berge and Kiers in the related context of CANDECOMP/PARAFAC to fit the INDSCAL model.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf093958f6664e1cbe4cdda81453ee74 https://doi.org/10.1007/bf02295183 Zobrazit plný text záznamu Full text from SpringerLink