Post-Sampling Efficient QR-Prediction in Large-Sample Surveys

DOI10.2307/1403195zbMath0624.62016OpenAlexW2320127758MaRDI QIDQ3026037

Giorgio E. Montanari

Publication date: 1987

Published in: International Statistical Review / Revue Internationale de Statistique (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/1403195

zbMATH Keywords

finite populationbest linear unbiased predictorpopulation totaldesign-based approachmodel-based approachfirst-order approximationsoptimal predictorsfixed sampling designgeneralized regression predictorasymptotic design-unbiased (ADU) predictioncovariance matrices of regression superpopulation modelsnon-diagonal regression modelsQR- predictors

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Related Items (14)

Discussions ⋮ A new generalized regression estimator and variance estimation for unequal probability sampling without replacement for missing data ⋮ Statistical inference from finite population samples: A critical review of frequentist and Bayesian approaches ⋮ Design‐based Estimators Calibrated on Estimated Totals from Multiple Surveys ⋮ Second-order asymptotic theory for calibration estimators in sampling and missing-data problems ⋮ Some Variants of Constrained Estimation in Finite Population Sampling ⋮ Generalized calibration and application to weighting for non-response ⋮ Optimal sampling design under the response homogeneous group response mechanism -- a prediction approach ⋮ Asymptotically design-unbiased predictors for two-stage sampling ⋮ Maximum entropy estimation for survey sampling ⋮ The mixed model for survey regression estimation ⋮ A mixed model-assisted regression estimator that uses variables employed at the design stage ⋮ Generalized pseudo empirical likelihood inferences for complex surveys ⋮ Design-based random permutation models with auxiliary information

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