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), pp. 79-89. (doi:10.1111/j.1467-9868.2005.00489.x).


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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
Digital Object Identifier (DOI): doi:10.1111/j.1467-9868.2005.00489.x
ISSNs: 1369-7412 (print)
Related URLs:
Keywords: inclusion probabilities, linearization, pseudovalues, smooth function of means, stratification
ePrint ID: 44058
Date :
Date Event
Date Deposited: 13 Feb 2007
Last Modified: 16 Apr 2017 18:46
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/44058

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