Bayesian Sample Size Computing for Estimation of Binomial Proportions using p-tolerance with the Lowest Posterior Loss

This paper is devoted to computing the sample size of binomial distribution with Bayesian approach. The quadratic loss function is considered and three criterions are applied to obtain p-tolerance regions with the lowest posterior loss. These criterions are: average length, average coverage and worst outcome.