Abstract
The unavailability of information from some sampled units complicates the use of current sampling methods. The classical solution is to select a subsample from within the non-respondents. A random non-response mechanism provides an alternative model within the randomization approach. A superpopulation point of view suggests use of a predictor. Shrinkage techniques are used to derive methods for dealing with non-responses. The accuracy of the analysed models is compared using Monte Carlo experiments.
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