Small area estimation under informative sampling
Small area estimation under informative sampling
In this article we show how to predict small area means and compute valid MSE estimators in situations where the areas represented in the sample are sampled with unequal probabilities that are possibly related to the true (unknown) area means, and the sampling of units within the selected areas is with probabilities that are possibly related to the outcome values. We illustrate the proposed procedures by means of a simulation study.
bootstrap, prediction bias, sample distribution, sample-complement distribution, sampling weights
675-684
Pfeffermann, Danny
c7fe07a0-9715-42ce-b90b-1d4f2c2c6ffc
Sverchkov, Michail
425615f0-784c-4e6f-8108-2c50e1f4cb42
2005
Pfeffermann, Danny
c7fe07a0-9715-42ce-b90b-1d4f2c2c6ffc
Sverchkov, Michail
425615f0-784c-4e6f-8108-2c50e1f4cb42
Pfeffermann, Danny and Sverchkov, Michail
(2005)
Small area estimation under informative sampling.
Statistics in Transition, 7 (3), .
Abstract
In this article we show how to predict small area means and compute valid MSE estimators in situations where the areas represented in the sample are sampled with unequal probabilities that are possibly related to the true (unknown) area means, and the sampling of units within the selected areas is with probabilities that are possibly related to the outcome values. We illustrate the proposed procedures by means of a simulation study.
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Published date: 2005
Keywords:
bootstrap, prediction bias, sample distribution, sample-complement distribution, sampling weights
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Local EPrints ID: 38524
URI: http://eprints.soton.ac.uk/id/eprint/38524
ISSN: 1234-7655
PURE UUID: 9680e2bc-275e-45c7-897d-3ee10d35b9a7
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Date deposited: 19 Jun 2006
Last modified: 15 Mar 2024 08:08
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Author:
Michail Sverchkov
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