Abstract
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.
DOI
10.22237/jmasm/1193890740
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
