Abstract: To deal with optimal selection for empirical distribution, we propose ``mean square distance'' by introducing square loss function, and derive a ``new'' empirical distribution function, which is shown to be optimal. For comparisons of five empirical distribution functions, we adopt another measure in the sense of ``Minimax'', and simulation is used to illustrate the domination of the ``new'' empirical distribution function in continuous population.