ESTIMATION OF DISTRIBUTION FUNCTION AND QUANTILES USING THE MODEL-CALIBRATED PSEUDO EMPIRICAL LIKELIHOOD METHOD

By Jiahua Chen, Changbao Wu. 2002

84 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/b6840fa6afd7dc1a7ca4087480200cd23f75f8be

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Jing Qin
2. Jun Shao
3. J. Rao
4. Biao Zhang
5. Changbao Wu
6. Jae Kwang Kim
7. Angela Druckman
8. Jiming Jiang

Citations in the corpus

• Pseudo‐empirical likelihood ratio confidence intervals for complex surveys (2006, methodology): “If the individual population valuesx1, . . . ,xN are known, then different benchmark constraints that lead to more efficient inference onF (t) can be used (Chen & Wu 2002).”
• Efficient and Doubly Robust Imputation for Covariate-Dependent Missing Responses (2008, methodology): “Finally, our method can be extended to survey problems under complex sampling designs with an appropriate handling of survey weights in the computation of estimators and empirical likelihood (Chen and Sitter 1999; Chen and Wu 2002).”