Asymptotically design-unbiased predictors for two-stage sampling

DOI10.1016/0167-7152(93)90263-IzbMath0779.62010OpenAlexW2086802324MaRDI QIDQ689537

Josemar Rodrigues

Publication date: 12 December 1993

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-7152(93)90263-i

zbMATH Keywords

best linear unbiased predictorpopulation totalasymptotically design unbiasedgeneralized regression estimatorlarge sample surveysprotection against model misspecificationtwo-stage sampling plan

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Cites Work

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• On the efficiency of prediction estimators in two-stage sampling
• Post-Sampling Efficient QR-Prediction in Large-Sample Surveys
• Finite Population Sampling With Multivariate Auxiliary Information
• Robust Linear Prediction in Finite Populations
• ON THE SIMPLE PROJECTION PREDICTOR IN FINITE POPULATIONS
• Characterization of best model-based predictors in survey sampling
• Asymptotically design-unbiased predictors in survey sampling
• How Nearly Can Model-Based Prediction and Design-Based Estimation Be Reconciled?
• A Class of Robust Sampling Designs for Large-Scale Surveys
• The Linear Least-Squares Prediction Approach to Two-Stage Sampling
• Inference about means from incomplete multivariate data
• Balanced samples and robust Bayesian inference in finite population sampling
• Survey Design Under the Regression Superpopulation Model
• Robust Estimation in Finite Populations I

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