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Schuster, G. (1996): ML-Estimation from Binomial Data with Misclassifications. A Comparison: Internal Validation versus Repeated Measurements. Collaborative Research Center 386, Discussion Paper 50
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Abstract

In 1970 Tenenbein has presented a double sampling scheme to estimate the proportion parameter of binomial data. In the context of measurement error models this strategy is known as the internal validation method. A second broad strategy is the repeated measurements method. We show how to apply this method for the estimation of a proportion parameter and try to answer the question which method should be prefered.