A jackknife variance estimator for unequal probability sampling |
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Authors: | Yves G Berger Chris J Skinner |
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Institution: | University of Southampton, UK |
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Abstract: | Summary. 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. |
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Keywords: | Inclusion probabilities Linearization Pseudovalues Smooth function of means Stratification |
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