The most appropriate statistical technique to determine a peak pressure coefficient from wind tunnel data is not a settled issue. This lack of standardization can lead to inconsistent definitions of the peak pressure coefficient. Recent papers have proposed a peak pressure coefficient cumulative distribution function (CDF) estimation procedure which utilizes the entirety of a short time history rather than sampled peaks from a long time history to derive the peak distribution. This method relies upon the accurate probabilistic modeling of the time history. The first part of this paper will present a robust PDF model developed to represent fluctuating pressures over the entire surface of a low-rise building. The existing short time history peak CDF estimation method is then modified using this new PDF model. Very long duration wind tunnel data is used to provide an empirical peak CDF to benchmark the performance of the existing and proposed new method.