Repeated Probit Regression When Covariates Are Measured With Error
โ Scribed by Dean A. Follmann; Sally A. Hunsberger; Paul S. Albert
- Book ID
- 110724539
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 556 KB
- Volume
- 55
- Category
- Article
- ISSN
- 0006-341X
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Linear regression models are studied when variables of interest are observed in the presence of measurement error. Techniques involving Fourier transforms that lead to simple differential equations with unique solutions are used in the context of multiple regression. Necessary and sufficient conditi
Estimation methods are considered for regression models which have both misclassified discrete covariates and continuous covariates measured with error. Adjusted parameter estimates are obtained using the method of data augmentation, where the true values of the covariates measured with error are re