Variance estimation with Chao's sampling scheme

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Berger, Y.G. (2005) Variance estimation with Chao's sampling scheme. Journal of Statistical Planning and Inference, 127 (1-2). pp. 253-277. ISSN 0378-3758 doi: 10.1016/j.jspi.2003.08.014

Abstract/Summary

We show that the Hájek (Ann. Math Statist. (1964) 1491) variance estimator can be used to estimate the variance of the Horvitz–Thompson estimator when the Chao sampling scheme (Chao, Biometrika 69 (1982) 653) is implemented. This estimator is simple and can be implemented with any statistical packages. We consider a numerical and an analytic method to show that this estimator can be used. A series of simulations supports our findings.

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Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/9492
Identification Number/DOI 10.1016/j.jspi.2003.08.014
Refereed Yes
Divisions Science > School of Mathematical, Physical and Computational Sciences > Department of Mathematics and Statistics > Applied Statistics
Uncontrolled Keywords Entropy, Hájek variance estimator, Inclusion probabilities, πps Sampling scheme
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