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A jackknife variance estimator for unequal probability sampling

By Yves G. Berger and Chris J. Skinner

Abstract

The jackknife method is often used for variance estimation in sample surveys but has only been developed for a limited class of sampling designs. We propose a jackknife variance estimator which is defined for any without-replacement unequal probability sampling design. We demonstrate design consistency of this estimator for a broad class of point estimators. A Monte Carlo study shows how the proposed estimator may improve on existing estimators

Topics: HA Statistics
Publisher: Wiley on behalf of the Royal Statistical Society
Year: 2005
DOI identifier: 10.1111/j.1467-9868.2005.00489.x
OAI identifier: oai:eprints.lse.ac.uk:39099
Provided by: LSE Research Online
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