A jackknife variance estimator for unequal probability samplingBerger, Y.G. and Skinner, C.J. (2005) A jackknife variance estimator for unequal probability sampling. Journal of the Royal Statistical Society, Series B 6 (1). pp. 79-89. ISSN 1369-7412 Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1111/j.1467-9868.2005.00489.x Abstract/SummaryThe 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.
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