  This paper studies the goodness of fit test for the bivariate Hermite
distribution. Specifically, we propose and study a Cram\'er-von Mises-type test
based on the empirical probability generation function. The bootstrap can be
used to consistently estimate the null distribution of the test statistics. A
simulation study investigates the goodness of the bootstrap approach for finite
sample sizes.
