A jackknife variance estimator for unequal probability sampling
Berger, Yves G. and Skinner, Chris J. (2005) A jackknife variance estimator for unequal probability sampling. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 67, (1), 79-89. (doi:10.1111/j.1467-9868.2005.00489.x).
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Description/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.
| Item Type: | Article |
|---|---|
| ISSNs: | 1369-7412 (print) |
| Related URLs: | |
| Keywords: | inclusion probabilities, linearization, pseudovalues, smooth function of means, stratification |
| Subjects: | H Social Sciences > HA Statistics |
| Divisions: | University Structure - Pre August 2011 > Southampton Statistical Sciences Research Institute |
| Item ID: | 44058 |
| Date Deposited: | 13 Feb 2007 |
| Last Modified: | 01 Jun 2011 11:49 |
| Contributors: | Berger, Yves G. (Author) Skinner, Chris J. (Author) |
| Date: | 2005 |
| Status: | Published |
| Contact Email Address: | Y.G.Berger@soton.ac.uk |
| URI: | http://eprints.soton.ac.uk/id/eprint/44058 |
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