Estimation of Ratios Using Bayesian Techniques


  • E. Inmaculada De la Fuente Universidad de Granada
  • Luis María Lozano Universidad de Granada
  • Concepción San Luis Costas Universidad Nacional de Educación a Distancia
  • Eduardo García-Cueto Universidad de Oviedo
  • Joan Guàrdia Universidad de Barcelona
  • María Eva Martín Universidad de Jaén
  • María Isabel Barbero UNED
  • Montserrat Freixa Universidad de Barcelona
  • Maribel Peró Universidad de Barcelona
  • Ana Rosa Ortega Universidad de Jaen
  • Gustavo Raúl Cañadas Universidad de Granada
  • D. Alcaraz Universidad de Granada
  • M. C. Díaz Universidad de Huelva
  • Ignacio Predosa Universidad de Oviedo



The estimation procedures based on Bayes' Theorem are still an unusual option in many of the environments of classic parametric inference. The aim of this paper is to show an effective scheme for the use of Bayesian estimation of unknown parameters. We have opted to focus on the estimation of parameters under the assumption of a binomial model, so that it can be followed by all those situations that meet the aforementioned probabilistic model. This approximation was studied in comparison with the classic parametric approximation, both in its point version and by means of interval estimation. On a study, by simulating samples of several sizes, we obtained empirical evidence regarding the advantage of the Bayesian procedure.


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How to Cite

De la Fuente, E. I., Lozano, L. M., San Luis Costas, C., García-Cueto, E., Guàrdia, J., Martín, M. E., Barbero, M. I., Freixa, M., Peró, M., Ortega, A. R., Cañadas, G. R., Alcaraz, D., Díaz, M. C., & Predosa, I. (2012). Estimation of Ratios Using Bayesian Techniques. Acción Psicológica, 5(2), 17–24.



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