Metrika

, Volume 66, Issue 2, pp 197–212

On rankings and top choices in random utility models with dependent utilities

  • Félix Belzunce
  • Eva-María Ortega
  • Franco Pellerey
  • José M. Ruiz
Article

DOI: 10.1007/s00184-006-0105-4

Cite this article as:
Belzunce, F., Ortega, EM., Pellerey, F. et al. Metrika (2007) 66: 197. doi:10.1007/s00184-006-0105-4

Abstract

Different aggregate preference orders based on rankings and top choices have been defined in the literature to describe preferences among items in a fixed set of alternatives. A useful tool in this framework is constituted by random utility models, where the utility of each alternative, or object, is represented by a random variable, indexed by the object, which, for example, can capture the variability of preferences over a population. Applications are derived in diverse research fields, including computer science, management science and reliability. Recently, some stochastic ordering conditions have been provided for comparing alternatives by means of some aggregate preference orders in the case of independent random utility variables by Joe (Math Soc Sci 43:391–404, 2002). In this paper we provide new conditions, based on some joint stochastic orderings, for aggregate preference orders among the alternatives in the case of dependent random utilities. We also provide some examples of application in different research fields.

Keywords

Arrangement increasing density Multivariate joint stochastic order Aggregate preference order Ranking Random utility model 

Mathematical Subject Classification (2000)

60E15 62P05 

Copyright information

© Springer-Verlag 2006

Authors and Affiliations

  • Félix Belzunce
    • 1
  • Eva-María Ortega
    • 2
  • Franco Pellerey
    • 3
  • José M. Ruiz
    • 1
  1. 1.Dpto. Estadística e Investigación Operativa, Facultad de MatemáticasUniversidad de MurciaEspinardo (Murcia)Spain
  2. 2.Centro de Investigación OperativaUniversidad Miguel HernándezOrihuela (Alicante)Spain
  3. 3.Dipartimento di MatematicaPolitecnico di TorinoTorinoItaly