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
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 |
| Uncontrolled Keywords: | inclusion probabilities, linearization, pseudovalues, smooth function of means, stratification |
| Library of Congress subject classification: | H Social Sciences > HA Statistics |
| Sets: | Departments > Statistics |
| Rights: | http://www.lse.ac.uk/library/rights/LSERO.htm |
| URL: | http://eprints.lse.ac.uk/39099/ |
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