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About
The blocked weighted bootstrap (BBW) is an estimation technique for use with data from two-stage cluster sampled surveys in which either prior weighting (e.g. population-proportional sampling or PPS as used in Standardized Monitoring and Assessment of Relief and Transitions or SMART surveys) or posterior weighting (e.g. as used in rapid assessment method or RAM and simple spatial sampling method or S3M surveys) is implemented. See Cameron et al (2008) doi:10.1162/rest.90.3.414 for application of bootstrap to cluster samples. See Aaron et al (2016) doi:10.1371/journal.pone.0163176 and Aaron et al (2016) doi:10.1371/journal.pone.0162462 for application of the blocked weighted bootstrap to estimate indicators from two-stage cluster sampled surveys.
github.com/rapidsurveys/bbw | |
rapidsurveys.io/bbw/ | |
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