WesVar. Replication-Based Variance Estimation for Analysis of Complex Survey Data. WesVar® uses the robust and flexible approach of replication variance estimation. Replication methods apply to sample designs and estimators from the simple to the most complex. Using one of five methods of replication, users can estimate standard errors for simple estimators like totals or complicated ones like logistic regression parameter estimates.
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References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Valliant, Richard; Dever, Jill A.; Kreuter, Frauke: Practical tools for designing and weighting survey samples (2018)
- Valliant, Richard; Dever, Jill A.; Kreuter, Frauke: Practical tools for designing and weighting survey samples (2013)
- James Knoke; Christy Anderson; Gary Koch: Analyzing Repeated Measures Marginal Models on Sample Surveys with Resampling Methods (2005) not zbMATH
- Rao, J. N. K.; Yung, W.; Hidiroglou, M. A.: Estimating equations for the analysis of survey data using poststratification information (2002)