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help for svr
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__Introduction to survey replication commands__

The prefix svr stands for SurVey Replication, and refers to commands that
analyze complex survey data using replication methods. The available methods
are balanced repeated replication (BRR), and several versions of survey
jackknife (JK1, JK2, and JKn). These methods are an alternative to the Taylor
series linearization methods available in Stata's svy commands. See survwgt
for details on replication methods.

Basic svr commands:

help survwgt Creates sets of replication weights for svr analysis.
Also performs other transformations on survey sampling
weights, including post-stratification, raking, and
non-response adjustments.

help svrset Set variables for replication-based analysis of survey
data

Estimation commands:

help svrmodel Linear regression and other regression-type models

help svrmean Estimation of population and subpopulation means
help svrratio Estimation of population and subpopulation ratios
help svrtotal Estimation of population and subpopulation totals

help svrtab Two-way tables for survey data

help svrcorr Estimation of correlation coefficients

help svrest Calculation of replication-based (co)variances for other
commands

Post-estimation commands:

The svr commands have been written such that Stata's svy post-estimation
commands function:

help svylc Estimate linear combinations of parameters (e.g.,
differences of means, regression coefficients)

help svytest Hypotheses tests for survey data

help svresttest Hypotheses tests involving the statistics calculated by
svrest

__Also see__

On-line: See help listed above

__Author__

Nick Winter
Cornell University
nw53@cornell.edu