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Balanced Repeated Replication (BRR)

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Edited by: Published: 2008
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Balanced repeated replication (BRR) is a technique for computing standard errors of survey estimates. It is a special form of the replicate weights technique. The basic form of BRR is for a stratified sample with two primary sampling units (PSUs) sampled with replacement in each stratum, although variations have been constructed for some other sample designs. BRR is attractive because it requires slightly less computational effect than the jackknife method for constructing replicate weights and it is valid for a wider range of statistics. In particular, BRR standard errors are valid for the median and other quantiles, whereas the jackknife method can give invalid results.

A sample with two PSUs in each stratum can be split into halves consisting of one PSU from each stratum. The ...

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