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http://dx.doi.org/10.5351/KJAS.2012.25.3.513

The Role of Artificial Observations in Testing for the Difference of Proportions in Misclassified Binary Data  

Lee, Seung-Chun (Department of Applied Statistics, Hanshin University)
Publication Information
The Korean Journal of Applied Statistics / v.25, no.3, 2012 , pp. 513-520 More about this Journal
Abstract
An Agresti-Coull type test is considered for the difference of binomial proportions in two doubly sampled data subject to false-positive error. The performance of the test is compared with the likelihood-based tests. It is shown that the Agresti-Coull test has many desirable properties in that it can approximate the nominal significance level with compatible power performance.
Keywords
Agrestt-Coull interval; double sampling; profile likelihood; Rao score;
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Times Cited By KSCI : 3  (Citation Analysis)
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