Variance estimation with Chao's sampling scheme


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

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Description/Abstract

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.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1016/j.jspi.2003.08.014
ISSNs: 0378-3758 (print)
Keywords: entropy, Hájek variance estimator, inclusion probabilities, ?ps sampling scheme
Subjects:
ePrint ID: 34121
Date :
Date Event
2005Published
Date Deposited: 16 May 2006
Last Modified: 16 Apr 2017 22:14
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/34121

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