(h, ø)‐information measure as a criterion of comparison of experiments in a Bayesian context

Abstract

Presents (h, ø)‐entropies as a generalization of ø‐entropies. Studies some applications of this function in Bayesian inference, especially in the comparison of experiments. Also studies the relationship of the (h,ø)‐entropy criterion to the classical approaches of Blackwell (1951) and Lehmann (1959).

Citation

Menéndez, M.L., Pardo, L., Morales, D. and Salicrú, M. (1996), "(h, ø)‐information measure as a criterion of comparison of experiments in a Bayesian context", Kybernetes, Vol. 25 No. 2, pp. 40-51. https://doi.org/10.1108/03684929610114637