The essential one-dimensionality of a preference matrix is assessed and the imputation of preference data that maintain the dimensionality is evaluated. The imputed data are estimated via transition rules of triads of preferences.

One-dimensional preference imputation through transition rules

FABBRIS, LUIGI
2011

Abstract

The essential one-dimensionality of a preference matrix is assessed and the imputation of preference data that maintain the dimensionality is evaluated. The imputed data are estimated via transition rules of triads of preferences.
2011
Classification and Multivariate Analysis for Complex Data Structures
9788849516562
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/2272725
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