Balanced samples and robust Bayesian inference in finite population sampling

DOI10.1093/biomet/69.2.401zbMath0509.62006OpenAlexW2082583927MaRDI QIDQ4747360

Richard M. Royall, Danny Pfeffermann

Publication date: 1982

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/47c621f5ba02ca93ffdb24de9bc4b4a39b8b9e8d

zbMATH Keywords

predictionrobust inferencefinite population samplingproper priorbalanced samplesmultivariate normal regression modeldiffuse prioromitted regressorserrors in modelsnormality of population total estimator

Mathematics Subject Classification ID

Bayesian inference (62F15) Sampling theory, sample surveys (62D05)

Related Items (9)

A conditional minimax approach in survey sampling ⋮ A note on finite population prediction under asymetric loss functions ⋮ Statistical inference from finite population samples: A critical review of frequentist and Bayesian approaches ⋮ Finite population corrections for multivariate Bayes sampling ⋮ Impact of frequentist and Bayesian methods on survey sampling practice: a selective appraisal ⋮ Bayesian linear prediction in finite populations ⋮ Asymptotically design-unbiased predictors for two-stage sampling ⋮ Bayes and minimax prediction in finite populations ⋮ A statistic for measuring the balance of a sample

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