Nonparametric small area estimation using penalized spline regression
By Jean D. Opsomer, F. J. Breidt, Gerda Claeskens, Goeran Kauermann, Giovanna Ranalli. 2005
76 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/3a264a4014049b90794ec135827b7a62ddd517ed
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
- J. Rao
- Thuan Nguyen
- Sunil Rao
- Natalia Rojas-Perilla
- Li‐Chun Zhang
- Nikos Tzavidis
In General Agricultural and Biological Sciences
In Management Science and Operations Research
- J. Rao
- Jiming Jiang
- Partha Lahiri
- Thuan Nguyen
- Sunil Rao
- Natalia Rojas-Perilla
- Li‐Chun Zhang
- Nikos Tzavidis
Citations in the corpus
- Best Predictive Small Area Estimation (2011, background): “One may also consider nonparametric models (e.g., Opsomer et al. 2008) that are less restrictive than parametric ones.”
- From start to finish: a framework for the production of small area official statistics (2018, background): “…et al., 2008; Sinha and Rao, 2009; Chambers et al., 2014; Fabrizi et al., 2014), models with non-parametric instead of linear signal specification (Opsomer et al., 2008; Ugarte et al., 2009) and models that extend the covariance structure of the model by allowing for spatially correlated domain…”
- Mixed model prediction and small area estimation (2006, background): “Such an approach has been considered by Opsomer et al. (2004).”
- Small Area Estimation (2003, methodology): “Resulting model has a linear mixed model form so use EBLUP (Opsomer et al. 2008).”