Schuster, G. (1996): ML-Estimation from Binomial Data with Misclassifications. A Comparison: Internal Validation versus Repeated Measurements. Collaborative Research Center 386, Discussion Paper 50 |
Full text not available from 'Open Access LMU'.
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) |
---|---|
Faculties: | Mathematics, Computer Science and Statistics > Statistics > Collaborative Research Center 386 Special Research Fields > Special Research Field 386 |
Subjects: | 500 Science > 510 Mathematics |
Language: | English |
ID Code: | 1446 |
Deposited On: | 04. Apr 2007 |
Last Modified: | 11. May 2017 14:11 |
Repository Staff Only: item control page