期刊
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
卷 67, 期 -, 页码 79-89出版社
WILEY
DOI: 10.1111/j.1467-9868.2005.00489.x
关键词
inclusion probabilities; linearization; pseudovalues; smooth function of means; stratification
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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