A Two-phase Sampling Strategy for Estimating Multiple Mean Values in the Presence of Nonresponse
Streszczenie
The phenomenon of nonresponse in sample surveys usually results in biased
estimates of population characteristics. One of the means to deal with nonresponse is the
subsampling technique. It relies on re-contacting some subset of nonrespondents by using
more expensive and more efficient tools (e.g. direct interview) than those used in the first
attempt to collect data. This allows to increase response rate and to obtain unbiased estimates
of population characteristics. In this paper, the problem of establishing the sample and
subsample sizes minimizing the expected cost of the survey, while achieving desired precision
of multiple mean value estimates, is considered. An algorithm is proposed that allows to
establish the optimum initial sample and subsample sizes for two-phase sampling strategy.
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