Exact adaptive confidence intervals for small areas.

  title={Exact adaptive confidence intervals for small areas.},
  author={Kyle Burris and Peter D. Hoff},
  journal={arXiv: Methodology},
In the analysis of survey data it is of interest to estimate and quantify uncertainty about means or totals for each of several non-overlapping subpopulations, or areas. When the sample size for a given area is small, standard confidence intervals based on data only from that area can be unacceptably wide. In order to reduce interval width, practitioners often utilize multilevel models in order to borrow information across areas, resulting in intervals centered around shrinkage estimators… Expand

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