For random variables produced through the inverse transform method, approximate are introduced, which using approximations to a distribution’s cumulative distribution function. These designed be computationally inexpensive, and much cheaper than library functions exact within machine precision, thus highly suitable for use in Monte Carlo simulations. The approximation errors they introduce can ...