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Some interesting unpublished ideas on survey weighting

A couple years ago we had an amazing all-star session at the Joint Statistical Meetings. The topic was new approaches to survey weighting (which is a mess, as I’m sure you’ve heard).

Xiao-Li Meng recommended shrinking weights by taking them to a fractional power (such as square root) instead of trimming the extremes.

Rod Little combined design-based and model-based survey inference.

Michael Elliott used mixture models for complex survey design.

And here’s my introduction to the session.

One Comment

  1. Steven says:

    At slide 16 of your intro, the weight for men should be 48/40, rather than 40/48, right? Since men are under-represented in SRS 2.