On conditioning for model-based inference in survey sampling
On conditioning for model-based inference in survey sampling
A ‘discontinuity’ of sampling distribution inference between a prediction problem and an estimation problem in model-based survey sampling is discussed. The problem is resolved by conditioning on an appropriate ancillary within a curved exponential family framework. The ignorability of the sampling design for inference is discussed.
275-286
Skinner, C.J.
48081d82-c596-436e-8846-c9d0a1bf158d
June 1988
Skinner, C.J.
48081d82-c596-436e-8846-c9d0a1bf158d
Skinner, C.J.
(1988)
On conditioning for model-based inference in survey sampling.
Biometrika, 75 (2), .
(doi:10.1093/biomet/75.2.275).
Abstract
A ‘discontinuity’ of sampling distribution inference between a prediction problem and an estimation problem in model-based survey sampling is discussed. The problem is resolved by conditioning on an appropriate ancillary within a curved exponential family framework. The ignorability of the sampling design for inference is discussed.
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Published date: June 1988
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Local EPrints ID: 34656
URI: http://eprints.soton.ac.uk/id/eprint/34656
ISSN: 0006-3444
PURE UUID: 39f02fe5-4e40-44f3-ba62-62758dd65994
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Date deposited: 18 Jan 2008
Last modified: 15 Mar 2024 07:48
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Author:
C.J. Skinner
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