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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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.
|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
|Date Deposited:||13 Feb 2007|
|Last Modified:||01 Jun 2011 02:24|
|Contributors:||Berger, Yves G. (Author)
|Contact Email Address:||Y.G.Berger@soton.ac.uk|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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