Choosing frame weights in dual-frame surveys
Read OriginalThis technical article discusses the statistical challenge of selecting the weighting parameter (θ) in dual-frame surveys, where samples from overlapping frames must be weighted to avoid double-counting. It compares traditional variance-minimization methods for estimating totals with a modern computational approach using R's survey and Frames2 packages to find optimal θ values for multiple variables, demonstrating the process with phone survey data.
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