Bayesian Subset Selection of Binomial Parameters Using Possibly Misclassified Data
James D. Stamey, Thomas L. Bratcher, Dean M. Young · Journal of Modern Applied Statistical Methods · 2007
Three Bayesian approaches are considered for the selection of binomial proportion parameters when data is subject to misclassification. The cases where the misclassification is non-differential and differential were considered, thus extending previous work which considered only non-differential misclassification. In this article, various selection criteria are applied to a simulated data set and a real data set.