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Variance estimation with highly stratified sampling designs with unequal probabilities

Variance estimation with highly stratified sampling designs with unequal probabilities
Variance estimation with highly stratified sampling designs with unequal probabilities
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.
design-based inference, ?-estimator, inclusion probabilities, least squares, random effect model
1369-1473
365-373
Berger, Yves G.
8fd6af5c-31e6-4130-8b53-90910bf2f43b
Berger, Yves G.
8fd6af5c-31e6-4130-8b53-90910bf2f43b

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).

Record type: Article

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.

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More information

Published date: 2005
Related URLs:
Keywords: design-based inference, ?-estimator, inclusion probabilities, least squares, random effect model

Identifiers

Local EPrints ID: 44061
URI: http://eprints.soton.ac.uk/id/eprint/44061
ISSN: 1369-1473
PURE UUID: 5edef614-cc51-4061-b267-11cb27c008e6
ORCID for Yves G. Berger: ORCID iD orcid.org/0000-0002-9128-5384

Catalogue record

Date deposited: 13 Feb 2007
Last modified: 16 Mar 2024 03:03

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