Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1145088 | Journal of the Korean Statistical Society | 2008 | 11 Pages |
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
Authors
Seung-Chun Lee, Jong-Seok Byun,