Ignorable and informative designs in survey sampling inference

@article{Sugden1984IgnorableAI,
  title={Ignorable and informative designs in survey sampling inference},
  author={Roger A. Sugden and T. M. Fred Smith},
  journal={Biometrika},
  year={1984},
  volume={71},
  pages={495-506}
}
SUMMARY The role of the sample selection mechanism in a model-based approach to finite population inference is examined. When the data analyst has only partial information on the sample design then a design which is ignorable when known fully may become informative. Conditions under which partially known designs can be ignored are established and examined for some standard designs. The results are illustrated by an example used by Scott (1977). 

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