Latent-class DBEF decomposes the observed results into the largest possible set that is described well by Benford’s Law (or another specific distribution, such as the uniform) and the smallest possible set that is not. In this way, it gives an estimate of the smallest possible fraction of numerical results that do not appear to be accurate.
