An algorithm for computing the cumulative distribution function for magnitude squared coherence estimates

A simple and efficient algorithm is developed for computing the conditional cumulative distribution function for estimates of the magnitude-squared coherence between two wide-sense stationary real zero-mean Gaussian stochastic processes. This algorithm is applied to computing the confidence bounds for the estimates.