Robust Sample Survey Inference via Bootstrapping and Bias Correction: The Case of the Ratio Estimator
Robust Sample Survey Inference via Bootstrapping and Bias Correction: The Case of the Ratio Estimator
The bootstrap approach to statistical inference is described in Efron (1982). The method has wide applicability and has seen considerable development in recent years. However, use of the bootstrap in sample survey inference has been somewhat limited. Rao and Wu (1988), describe an application of the bootstrap under the design-based approach to sample survey inference. Sitter (1992a, 1992b), has extended their results to more complex survey designs. More recently, Booth, Butler and Hall (1991) and Booth and Murison (1992) describe a rather different approach to constructing a design-based bootstrap. In this paper we describe how this approach to the bootstrap can be applied under model-based sample survey inference, focussing on an application where the popular ratio estimator is the estimator of choice.
Southampton Statistical Sciences Research Institute, University of Southampton
Chambers, R. L.
8a7dccad-7738-408e-a509-2de287bde907
Dorfman, A. H.
ee24f795-5a10-4cd5-9457-e74db8fbbccc
2003
Chambers, R. L.
8a7dccad-7738-408e-a509-2de287bde907
Dorfman, A. H.
ee24f795-5a10-4cd5-9457-e74db8fbbccc
Chambers, R. L. and Dorfman, A. H.
(2003)
Robust Sample Survey Inference via Bootstrapping and Bias Correction: The Case of the Ratio Estimator
(S3RI Methodology Working Papers, M03/13)
Southampton, UK.
Southampton Statistical Sciences Research Institute, University of Southampton
21pp.
Record type:
Monograph
(Project Report)
Abstract
The bootstrap approach to statistical inference is described in Efron (1982). The method has wide applicability and has seen considerable development in recent years. However, use of the bootstrap in sample survey inference has been somewhat limited. Rao and Wu (1988), describe an application of the bootstrap under the design-based approach to sample survey inference. Sitter (1992a, 1992b), has extended their results to more complex survey designs. More recently, Booth, Butler and Hall (1991) and Booth and Murison (1992) describe a rather different approach to constructing a design-based bootstrap. In this paper we describe how this approach to the bootstrap can be applied under model-based sample survey inference, focussing on an application where the popular ratio estimator is the estimator of choice.
More information
Published date: 2003
Identifiers
Local EPrints ID: 8163
URI: http://eprints.soton.ac.uk/id/eprint/8163
PURE UUID: ca3e5349-5ed6-4f1d-a9ee-1bb9728c9a6b
Catalogue record
Date deposited: 11 Jul 2004
Last modified: 15 Mar 2024 04:51
Export record
Contributors
Author:
R. L. Chambers
Author:
A. H. Dorfman
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics