Aim of this paper is to show a statistical methodology which takes into account external information (linear constraints on the variables coefficients) available during a customer satisfaction analysis. This methodology which is called Restricted Co-Inertia Analysis (Amenta and Ciavolino, 2005a) incorporates the external information by rewriting the objective function of the Co-Inertia Analysis (Chessel and Mercier, 1993) according to the Restricted Eigenvalue Problem (Rao, 1973), in order to integrate the interpretation of the analysis results.
Restricted Co-Inertia Analysis: Uno strumento statistico per la valutazione della Patient Satisfaction
AMENTA P;
2005-01-01
Abstract
Aim of this paper is to show a statistical methodology which takes into account external information (linear constraints on the variables coefficients) available during a customer satisfaction analysis. This methodology which is called Restricted Co-Inertia Analysis (Amenta and Ciavolino, 2005a) incorporates the external information by rewriting the objective function of the Co-Inertia Analysis (Chessel and Mercier, 1993) according to the Restricted Eigenvalue Problem (Rao, 1973), in order to integrate the interpretation of the analysis results.File in questo prodotto:
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