Providing double protection for unit nonresponse with a nonlinear calibration-weighting routine
Given a randomly drawn sample, calibration weighting can provide double protection against the selection bias resulting from unit nonresponse.This means that if either an assumed linear prediction Crochet Patterns model or an implied unit selection model holds, the resulting estimator will be asymptotically unbiased in some sense.The functional for