  We consider the nonparametric estimation problem of continuous probability
distribution functions. For the integrated mean square error we provide the
statistic corresponding to the best invariant estimator proposed by Aggarwal
(1955) and Ferguson (1967). The table of critical values is computed and a
numerical power comparison of the statistic with the traditional Cram\'{e}r-von
Mises statistic is done for several representative distributions.
