This research is designed to explore whether election fraud precinct-level estimates obtained from a finite mixture likelihood model, recently developed by Mebane(2015), can be validated against alternative, more intuitive measures of election fraud. I estimate the precinct-level probabilities...

Two election forensics methods provide estimates of the magnitude of election fraud: Bayesian version of the finite mixture model developed by Walter Mebane and his students, and nonparametric approach based on vote-turnout histograms proposed by Sergey Shpilkin. While Mebane's approach offers...