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). pp. 79-89. ISSN 1369-7412
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Identification Number: 10.1111/j.1467-9868.2005.00489.x
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 |
|---|---|
| Official URL: | http://www.blackwellpublishing.com/journal.asp?ref... |
| Additional Information: | © 2005 Wiley-Blackwell |
| Divisions: | Statistics |
| Subjects: | H Social Sciences > HA Statistics |
| Date Deposited: | 28 Oct 2011 12:34 |
| Last Modified: | 11 Dec 2024 22:56 |
| URI: | http://eprints.lse.ac.uk/id/eprint/39099 |
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