ML-Estimation from Binomial Data with Misclassifications. A Comparison: Internal Validation versus Repeated Measurements

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

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.

• Item Type: Paper (Research Paper)
• Collections: Mathematics, Computer Science and Statistics > Statistics > Collaborative Research Center 386; Special Research Fields > Special Research Field 386
• Subjects: 500 Science > 510 Mathematics