Small area estimation when auxiliary information is measured with error

By Lynn M. R. Ybarra, Sharon L. Lohr. 2008

153 citations recorded by the source corpus.

Subfields: Sociology and Political Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/b9123ede4bc5fce93a6e9151f26b881b82a508b2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Sociology and Political Science

1. Gauri Sankar Datta
2. Danny Pfeffermann
3. Brunero Liseo
4. Serena Arima

In Statistics and Probability

1. Gauri Sankar Datta
2. Brunero Liseo
3. Serena Arima
4. Danny Pfeffermann
5. Malay Ghosh
6. R. Tiller
7. Adelchi Azzalini
8. Reinaldo Boris Arellano-Valle

Citations in the corpus

• Bayesian Estimators for Small Area Models when Auxiliary Information is Measured with Error (2015, methodology): “4 shows the posterior variance of the Bayesian estimator (stars) and the estimated MSE of the Ybarra & Lohr (2008) estimator (points) against the variance of the direct estimator: although the direct estimators show © 2014 Board of the Foundation of the Scandinavian Journal of Statistics. very low…”
• New important developments in small area estimation (2013, methodology): “The work by Ybarra and Lohr (2008) reviewed before also assumes a functional measurement error, but considers the area level model.”