Calibration estimation in dual-frame surveys

@article{Ranalli2016CalibrationEI,
  title={Calibration estimation in dual-frame surveys},
  author={Maria Giovanna Ranalli and Antonio Arcos and Mar{\'i}a del Mar Rueda and Annalisa Teodoro},
  journal={Statistical Methods \& Applications},
  year={2016},
  volume={25},
  pages={321-349}
}
Survey statisticians make use of auxiliary information to improve estimates. One important example is calibration estimation, which constructs new weights that match benchmark constraints on auxiliary variables while remaining “close” to the design weights. Multiple-frame surveys are increasingly used by statistical agencies and private organizations to reduce sampling costs and/or avoid frame undercoverage errors. Several ways of combining estimates derived from such frames have been proposed… 
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