Empirical likelihood for linear regression models under imputation for missing responses
By Qihua Wang, J. Rao. 2001
77 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/0c24c45cc30521fcb0e42c4e8e9540496f48c258
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Statistics and Probability
- Wolfgang Karl Härdle
- Ursula U. Muller
- Oliver B. Linton
- Qihua Wang
- Liugen Xue
- Qihua Wang
- Arthur Lewbel
- Markus Frölich
Citations in the corpus
- Semiparametric Regression Analysis With Missing Response at Random (2003, methodology): “Wang and Rao (2001, 2002b) considered the linear regression models and devel-”
- Estimating linear functionals in nonlinear regression with responses missing at random (2009, background): “Wang and Rao (2001) consider linearly constrained covariates and develop an empirical likelihood approach for inference about the mean in linear regression (with independent errors) based on partial linear regression imputation.”