  The estimation of a probability p from repeated Bernoulli trials is
considered in this paper. A sequential approach is followed, using a simple
stopping rule. A closed-form expression and an upper bound are obtained for the
mean absolute error of the unbiased estimator of p. The results given permit
the estimation of an arbitrary probability with a prescribed level of
normalized mean absolute error.
