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

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.
Customer Satisfaction; External information; Co-Inertia Analysis
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.12070/4132
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