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 model or an implied unit selection model holds. the resulting estimator will be asymptotically unbiased in some sense. https://www.spidertattooz.com/Horse-Painting-3-Piece-HD-Multi-Panel-Canvas-Wall-Art-Frame/