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 & New Zealand Journal of Statistics, 47, (3), 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
ISSNs: 1369-1473 (print)
Related URLs:
Keywords: design-based inference, π-estimator, inclusion probabilities, least squares, random effect model
Subjects: H Social Sciences > HA Statistics
Divisions: University Structure - Pre August 2011 > Southampton Statistical Sciences Research Institute
ePrint ID: 44061
Date Deposited: 13 Feb 2007
Last Modified: 27 Mar 2014 18:28
URI: http://eprints.soton.ac.uk/id/eprint/44061

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