Article ID Journal Published Year Pages File Type
1145088 Journal of the Korean Statistical Society 2008 11 Pages PDF
Abstract
The construction of a confidence interval based on a Bayesian approach is considered for the population proportion with double sampled data subject to false-positive misclassification. The Bayesian confidence intervals are compared with a standard frequentist confidence interval in terms of coverage probability and expected width. It is shown that a noninformative Bayes approach provides a relatively simple but effective confidence interval.
Related Topics
Physical Sciences and Engineering Mathematics Statistics and Probability
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