A mixture model for preferences data analysis

Authors:
Angela D'Elia;Domenico Piccolo
Affiliations:
Dipartimento di Scienze Statistiche, Universití di Napoli Federico II, Via Leopoldo Rodinò 22, 80138 Napoli, Italy;Dipartimento di Scienze Statistiche, Universití di Napoli Federico II, Via Leopoldo Rodinò 22, 80138 Napoli, Italy
Venue:
Computational Statistics & Data Analysis
Year:
2005

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Abstract

A mixture model for preferences data, which adequately represents the composite nature of the elicitation mechanism in ranking processes, is proposed. Both probabilistic features of the mixture distribution and inferential and computational issues arising from the maximum likelihood parameters estimation are addressed. Moreover, empirical evidence from different data sets confirming the goodness of fit of the proposed model to many real preferences data is shown.