An index for proximity of two distributions

The confusion index is developed as a single-number descriptor of the proximity of two distributions and, more generally, of two random variables or vectors. Its advantages include natural interpretation, tractability for several common distributions and straightforward generalisations to multivariate distributions and dependent random variables