On measures of uncertainty of empirical Bayes small-area estimators

By Ferry Butar Butar, Partha Lahiri. 2003

138 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/07872d54cd91db98e369eb5807485f42163a043b

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

1. Domingo Morales
2. M. José Lombardía
3. Partha Lahiri
4. Jiming Jiang
5. Peter Hall
6. Isabel Molina
7. Tapabrata Maiti
8. Gauri Sankar Datta

In Management Science and Operations Research

1. M. José Lombardía
2. Domingo Morales
3. Jiming Jiang
4. Partha Lahiri
5. Isabel Molina
6. Gauri Sankar Datta
7. A. Saei
8. Laureano Santamaría

In Statistics and Probability

1. M. José Lombardía
2. Domingo Morales
3. Peter Hall
4. Partha Lahiri
5. Gauri Sankar Datta
6. Jiming Jiang
7. Isabel Molina
8. Goeran Kauermann

Citations in the corpus

• On parametric bootstrap methods for small area prediction (2006, methodology): “Much of the existing small area bootstrap work, e.g. that of Butar Butar and Lahiri (2003) and Meza (2003), is founded on empirical Bayes arguments, whereas the approach that is suggested in this paper is distinctly frequentist.”
• Small area estimates of labour force participation under a multinomial logit mixed model (2007, methodology): “Butar and Lahiri (2003) used a bootstrap for estimation under linear mixed models.”
• Bootstrapping clustered data (2007, methodology): “The infinite population approach is useful in and has been applied to model-based finite population analysis; see Butar and Lahiri (2003), Lahiri (2003) and Welsh (2005).”
• Non‐parametric small area estimation using penalized spline regression (2008, background): “Butar and Lahiri (2003) considered parametric bootstrap estimation of the PMSE by assuming Gaussian distributions.”
• Bootstrap mean squared error of a small-area EBLUP (2008, methodology): “See a description of this theory in the monograph of Rao [1], or in the reviews of Ghosh and Rao [2], Rao [1] and more recently Jiang and Lahiri [3].”
• Empirical Bayes estimation smoothing of relative risks in disease mapping (2003, background): “Morris (1983), Prasad and Rao (1990), Singh et al. (1998) and Butar and Lahiri (2003) all examine normal linear models.”
• Mixed model prediction and small area estimation (2006, methodology): “See Butar (1997), Butar and Lahiri (2003), Pfeffermann and Tiller (2002), Lahiri (2003a) and Glickman and Pfeffermann (2004).”
• Small Area Shrinkage Estimation (2012, background): “Subsequently, Butar and Lahiri (2003) adopted their approach in small area estimation.”