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. Sonderforschungsbereich 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.

• Dokumententyp: Paper
• Fakultät: Mathematik, Informatik und Statistik > Statistik > Sonderforschungsbereich 386 ; Sonderforschungsbereiche > Sonderforschungsbereich 386
• Themengebiete: 500 Naturwissenschaften und Mathematik > 510 Mathematik
• Sprache: Englisch