Variance Estimation from Complex Surveys Using Balanced Repeated Replication
نویسنده
چکیده
For estimating the variance of nonlinear statistics like regression and correlation coefficients in stratified sampling designs, the Balanced Repeated Replication (BRR) method has received special attention, although other procedures like linearization (Taylor’s series expansion method), Jackknife repeated replications and the Bootstrap method are also available in the literature. BRR method involves in forming replication by choosing one of the units selected from each stratum to form a replication. Each of the replications provides an estimate of the nonlinear statistic. The procedure is repeated many times to get more stable estimator.
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