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Biometrika 1988 75(2):275-286; doi:10.1093/biomet/75.2.275
© 1988 by Biometrika Trust
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On conditioning for model-based inference in survey sampling

C. J. SKINNER

Department of Social Statistics, University of Southampton Southampton SO9 5NH, U.K.

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.

Key Words: Conditional additive exponential family • Conditional inference • Curved exponential family • Finite population • Ignorability • Observational study • Sampling design


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