Alternate forms for numerical evaluation of cumulative probability distributions directly from characteristic functions

Alternate integral forms for the cumulative probability distribution in terms of the characteristic function are given. In particular, forms that can utilize a fast Fourier transform algorithm and special forms for one-sided probability density functions are derived. For a special class of discrete random variables, all integral evaluations are over a finite range.