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TitlePicture of all solutions of successive 2-block maxbet problems.
Author(s) Vartan Choulakian
TypeArticle in Journal
AbstractThe Maxbet method is a generalized principal components analysis of a data set, where the group structure of the variables is taken into account. Similarly, 3-block[12,13] partial Maxdiff method is a generalization of covariance analysis, where only the covariances between blocks (1, 2) and (1, 3) are taken into account. The aim of this paper is to give the global maximum for the 2-block Maxbet and 3-block[12,13] partial Maxdiff problems by picking the best solution from the complete solution set for the multivariate eigenvalue problem involved. To do this, we generalize the characteristic polynomial of a matrix to a system of two characteristic polynomials, and provide the complete solution set of the latter via Sylvester resultants. Examples are provided
Keywordsprincipal components, analysis centroid method, Maxbet Maxdiff multi-block method, Sylvester, resultant, Gröbner bases, algebraic statistics
ISSN0033-3123; 1860-0980/e
URL http://link.springer.com/article/10.1007%2Fs11336-011-9226-4
LanguageEnglish
JournalPsychometrika
Volume76
Number4
Pages550--563
PublisherSpringer US, New York, NY; Psychometric Society, Iowa City, IA
Year2011
Edition0
Translation No
Refereed No
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