Efficient estimation of tail-area probabilities in sampling experiments

A technique based on the use of control variates is proposed for the efficient estimation, in Monte Carlo experiments, of tail-area probabilities of test statistics whose small-sample properties are unknown. Significant variance reduction can be achieved in some cases.