Pseudo‐empirical likelihood ratio confidence intervals for complex surveys

By Changbao Wu, J. Rao. 2006

105 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/51c7c766f46a9ea205aad657055122d1f5902e3a

How researchers see this paper

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

In Artificial Intelligence

1. Jing Qin
2. Biao Zhang
3. Jun Shao

In Statistics and Probability

1. Jun Shao
2. Biao Zhang
3. Jing Qin
4. Jae Kwang Kim
5. Alan H. Welsh
6. C. Field

Citations in the corpus

• Efficient and Doubly Robust Imputation for Covariate-Dependent Missing Responses (2008, methodology): “A possible reason why we can further improve μ̂RRZ is that we apply the empirical likelihood approach, which is a more effective way to use the auxiliary covariate information (Owen 1988; Qin 1993; Qin and Lawless 1994; Chen and Sitter 1999; Chen and Wu 2002; Wu and Rao 2006).”