On measuring the variability of small area estimators under a basic area level model
By Gauri Sankar Datta, J. Rao, David D. Smith. 2005
197 citations recorded by the source corpus.
Subfields: Economics and Econometrics, General Agricultural and Biological Sciences, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/f6754282d30950a1fefdebdfe7a2934c4821d415
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Partha Lahiri
- Jiming Jiang
- Peter Hall
- Gauri Sankar Datta
- Tapabrata Maiti
- M. José Lombardía
- Domingo Morales
- Thuan Nguyen
In General Agricultural and Biological Sciences
In Management Science and Operations Research
- Jiming Jiang
- Partha Lahiri
- Gauri Sankar Datta
- Peter Hall
- Tapabrata Maiti
- M. José Lombardía
- Thuan Nguyen
- Sunil Rao
Citations in the corpus
- On parametric bootstrap methods for small area prediction (2006, methodology): “The set-up is similar to that considered by Datta et al. (2005).”
- Small Area Shrinkage Estimation (2012, background): “, Efron and Morris, 1973). A pioneering extension of Stein’s ideas in the small area estimation context is due to Fay and Herriot (1979) in their highly referred article.”
- Best Predictive Small Area Estimation (2011, methodology): “H; Fay and Herriot 1979; also see Pfeffermann and Nathan 1981 and Datta, Rao, and Smith 2005) and Prasad–Rao (P–”
- Mixed model prediction and small area estimation (2006, methodology): “Datta et al. (2005) illustrate the better performance of the Fay Herriot predictor when estimating the variance component by the Fay Herriot method as compared to estimating it by the method of Fitting of Constants.”
- Small area estimation in the presence of correlated random area effects (2009, unknown): “The experiment was designed following Datta et al. (2005).”