  The analysis of seasonal or annual block maxima is of interest in fields such
as hydrology, climatology or meteorology. In connection with the celebrated
method of block maxima, we study several tests that can be used to assess
whether the available series of maxima is identically distributed. It is
assumed that block maxima are independent but not necessarily generalized
extreme value distributed. The asymptotic null distributions of the test
statistics are investigated and the practical computation of approximate
p-values is addressed. Extensive Monte-Carlo simulations show the adequate
finite-sample behavior of the studied tests for a large number of realistic
data generating scenarios. Illustrations on several environmental datasets
conclude the work.
