Abstract: A method of modeling a vehicle crash waveform to generate an infinite set of crash waveforms comprises breaking down a predetermined crash waveform into a crash pulse (signal of interest) and multiplicative noise signal. The multiplicative noise signal is then statistically characterized as a function of time. Randomly variable waveforms from a white noise generator are then modified with the statistical characterization and multiplied with the signal of interest to generate the infinite set of model crash waveforms. These model crash waveforms can then be used to evaluate the performance of crash detection system in accordance with a "Monte Carlo" probability determination technique.