摘要：Interval estimation for the proportion parameter in one-samplemisclassi ed binary data has caught much interest in the literature. Re-cently, an approximate Bayesian approach has been proposed. This ap-proach is simpler to implement and performs better than existing frequen-tist approaches. However, because a normal approximation to the marginalposterior density was used in this Bayesian approach, some eciency maybe lost. We develop a closed-form fully Bayesian algorithm which drawsa posterior sample of the proportion parameter from the exact marginalposterior distribution. We conducted simulations to show that our fullyBayesian algorithm is easier to implement and has better coverage than theapproximate Bayesian approach.
