Tolerance Using Unlikely Inputs Turning the Test Distribution Up �

This paper turns the concept of input distributions on its head to exploit inverse input distributions Al though such distributions are not true mathematical inverse functions they capture the intuitive property of members that have high frequencies in the origi nal distribution have low frequencies in the inverse distribution and vice versa These new distributions have uses in testing for reliability estimates and more importantly fault tolerance analysis