R.J.J.H. van Son
In this paper a method is proposed to derive the effective number of different error classes from an identification experiment, combined with a method to determine the (non-) overlap in error classes between experiments. Both methods are based on standard information theory, reformulated to give more transparent results. Some examples from the literature are added at the end of the paper.