Small-Area Estimation With State–Space Models Subject to Benchmark Constraints
By Danny Pfeffermann, R. Tiller. 2006
95 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/43917e4fa85f823f2f7b5f5defeea541fad47e22
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
- Danny Pfeffermann
- Partha Lahiri
- Jiming Jiang
- Domingo Morales
- M. José Lombardía
- Gauri Sankar Datta
- Tomás Hobza
- Isabel Molina
In Management Science and Operations Research
- Jiming Jiang
- Danny Pfeffermann
- Partha Lahiri
- J. Rao
- Domingo Morales
- M. José Lombardía
- Isabel Molina
- Balgobin Nandram
In Statistics and Probability
- Partha Lahiri
- Danny Pfeffermann
- Jiming Jiang
- Domingo Morales
- M. José Lombardía
- Gauri Sankar Datta
- Peter Hall
- Malay Ghosh
Citations in the corpus
- New important developments in small area estimation (2013, methodology): “You and Rao (2002) achieve “automatic benchmarking” for the unit level model (5.”
- Mixed model prediction and small area estimation (2006, methodology): “Pfeffermann and Tiller (2005a) developed parametric and nonparametric bootstrap procedures for MSE estimation of correct order that account for the estimation of the model hyper-parameters.”