Finite-population prediction under error-in-variables superpopulation models

DOI10.2307/3315797zbMath0733.62011OpenAlexW1988242317MaRDI QIDQ3359553

Heleno Bolfarine

Publication date: 1991

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/3315797

zbMATH Keywords

predictionlocation modelregression modelsunbiasednessposterior variancemeasurement errorsnoninformative priorfinite populationspopulation totaltwo-stage samplingsimulation studiesBayes predictorprediction varianceerrors-in-variables superpopulation modelsexpansion predictor

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Related Items (8)

Prediction in finite population under error-in-variables superpopulation models ⋮ Admissibility of the usual estimators under error-in-variables superpopulation model ⋮ Bayes and minimax procedures for finite population sampling under measurement error models ⋮ Bayes and minimax estimators for two-stage sampling from a finite population under measurement error models ⋮ Estimating realized random effects ⋮ Robustness of Bayes Prediction Under Error-in-Variables Superpopulation Model ⋮ Likelihood Prediction for Generalized Linear Mixed Models under Covariate Uncertainty ⋮ Empirical bayesian prediction in the location error in variables superpopulation model

Cites Work

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• Accurate Approximations for Posterior Moments and Marginal Densities
• A General Theory of Prediction in Finite Populations
• An Investigation of Relative Efficiency of Least-Squares Prediction to Conventional Probability Sampling Plans
• The Linear Least-Squares Prediction Approach to Two-Stage Sampling
• Robust Estimation in Finite Populations I

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