Empirical likelihood inference under stratified random sampling using auxiliary population information

By Bob Zhong, J. Rao. 2000

56 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/11c57ce8a49cff08d927629b91434925152d07dd

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. Changbao Wu
2. Jae Kwang Kim
3. J. Rao
4. Jun Shao
5. Jing Qin
6. Biao Zhang
7. Liugen Xue
8. Songxi Chen

In Statistics and Probability

1. Jae Kwang Kim
2. J. Rao
3. Changbao Wu
4. David Haziza
5. Liugen Xue
6. Yilin Chen
7. Jun Shao
8. C. Yu

Citations in the corpus

• Calibration estimation using empirical likelihood in survey sampling (2009, background): “Zhong and Rao (2000) also derived an optimal estimator very similar to (16) under stratified random sampling.”
• Pseudo‐empirical likelihood ratio confidence intervals for complex surveys (2006, methodology): “Zhong & Rao (1996, 2000) obtained the MELE of Y under stratified simple random sampling, assuming negligible sampling fractionsnh/Nh in each stratumh and known overall meanX.”