  In this paper we develop a novel bootstrap test for the comparison of two
multinomial distributions. The two distributions are called {\it equivalent} or
{\it similar} if a norm of the difference between the class probabilities is
smaller than a given threshold. In contrast to most of the literature our
approach does not require differentiability of the norm and is in particular
applicable for the maximum- and $L^1$-norm.
