Weighted empirical likelihood-based inference for quantiles under stratified random sampling

Tahsin Mehdi*

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    Abstract

    A growing body of literature is emerging on empirical likelihood methods for complex surveys, These works largely focus on the population mean. We propose a weighted empirical likelihood approach as a method of inference for quantiles under stratified random sampling, which is one of the most papular complex survey designs. A simulation study substantiates our proposed methodology.

    Original languageEnglish
    Pages (from-to)2437-2442
    Number of pages6
    JournalEconomics Bulletin
    Volume33
    Issue number3
    Publication statusPublished - 19 Sep 2013

    Fingerprint

    Dive into the research topics of 'Weighted empirical likelihood-based inference for quantiles under stratified random sampling'. Together they form a unique fingerprint.

    Cite this