A sequential design-based framework integrates non-probability samples by treating them as a certainty stratum, producing consistent estimators and variance estimates that hold under both MAR and NMAR selection.
Evaluating the impact of a non-probability sample-based estimator in a linear combination with an estimator from a probability sample
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Toward design-based inference for data integration
A sequential design-based framework integrates non-probability samples by treating them as a certainty stratum, producing consistent estimators and variance estimates that hold under both MAR and NMAR selection.