  We connect the power of Confidence Intervals in different Frequentist methods
to their reliability. We show that in the case of a bounded parameter a biased
method which near the boundary has large power in testing the parameter against
larger alternatives and small power in testing the parameter against smaller
alternatives is desirable. Considering the recently proposed methods with
correct coverage, we show that the Maximum Likelihood Estimator method has
optimal bias.
