  Unbiased estimation for parameters of maximal distribution is a very
fundamental problem in the statistical theory of sublinear expectation. In this
paper, we proved that the maximum estimator is the largest unbiased estimator
for the upper mean and the minimum estimator is the smallest unbiased estimator
the the lower mean.
