Predicting Random Effects From Finite Population Clustered Samples With Response Error

DOI10.1198/016214504000001718zbMath1055.62011OpenAlexW2078378904WikidataQ57588128 ScholiaQ57588128MaRDI QIDQ4651040

Julio da Motta Singer, Edward J. III. Stanek

Publication date: 21 February 2005

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1198/016214504000001718

zbMATH Keywords

random permutationoptimal estimationsuperpopulationbest linear unbiased predictortwo-stage samplingdesign-based interference

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Related Items (8)

Prediction with measurement errors in finite populations ⋮ Finite population corrections for multivariate Bayes sampling ⋮ A unified approach to estimation and prediction under simple random sampling. ⋮ Estimating the population mean when some responses are missing ⋮ Predicting random effects with an expanded finite population mixed model ⋮ Performance of balanced two-stage empirical predictors of realized cluster latent values from finite populations: a simulation study ⋮ Design-based random permutation models with auxiliary information ⋮ Finite Population Mixed Models for Pretest-Posttest Designs with Response Errors

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