A Note on a Comparison of Bayesian with Non-Bayesian Dollar-Unit Sampling Bounds for Overstatement Errors of Accounting Populations
[There has been a proliferation of dollar-unit sampling bounds over the past few years; however, in many cases there has been little guidance provided on the relative performances of these bounds under representative audit conditions. This is particularly true of the Bayesian bounds which are analyzed here. One purpose of this study, therefore, is to provide further validation of Bayesian models by assessing their robustness when using diffuse priors on the "typical tainting patterns" of Leitch, et al. [1982]. A second purpose of the study is to compare Bayesian bounds with non-Bayesian bounds. The study found that even with diffuse priors, some Bayesian models show potential for improving on the performance of non-Bayesian dollar-unit sampling techniques.]