ABSTRACT
Many modern surveys use computer-intensive methods to calculate variances of estimates. This chapter shows how to use random group methods to analyze survey data; how to create replicate weights for the balanced repeated replication, jackknife, and bootstrap methods; and how to analyze survey data for which replicate weights have already been calculated. Each concept is illustrated with code and output produced for examples in Chapter 9 of Sampling: Design and Analysis, Third Edition.
