This paper will consider different methods to measure the gain of information that an experiment provides on parameters of a statistical model. The approach we follow is Bayesian and relies on the assumption that information about model parameters is represented by their probability distribution so that a measure of information is any summary of the probability distributions satisfying some sensible assumptions. Robustness issues will be considered and investigated in some examples using a new… CONTINUE READING