Bayesian Sample Size Computing for Estimation of Binomial Proportions using p-tolerance with the Lowest Posterior Loss
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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.
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Journal title
volume 16 issue 1
pages 1- 9
publication date 2011-09
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