Variance estimation with highly stratified sampling designs with unequal probabilities


Berger, Yves G. (2005) Variance estimation with highly stratified sampling designs with unequal probabilities Australian and New Zealand Journal of Statistics, 47, (3), pp. 365-373. (doi:10.1111/j.1467-842X.2005.00401.x).

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Description/Abstract

It is common practice to design a survey with a large number of strata. However, in this case the usual techniques for variance estimation can be inaccurate. This paper proposes a variance estimator for estimators of totals. The method proposed can be implemented with standard statistical packages without any specific programming, as it involves simple techniques of estimation, such as regression fitting.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1111/j.1467-842X.2005.00401.x
ISSNs: 1369-1473 (print)
Related URLs:
Keywords: design-based inference, ?-estimator, inclusion probabilities, least squares, random effect model
Subjects:
ePrint ID: 44061
Date :
Date Event
2005Published
Date Deposited: 13 Feb 2007
Last Modified: 16 Apr 2017 18:46
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/44061

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