Prediction in finite population under error-in-variables superpopulation models

DOI10.1016/0378-3758(94)90160-0zbMath0798.62018OpenAlexW2022027751MaRDI QIDQ1333097

Parimal Mukhopadhyay

Publication date: 13 September 1994

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0378-3758(94)90160-0

zbMATH Keywords

location modelvarianceoptimal predictionmeasurement errorsrisk functionminimax predictorBayes predictorsfinite population totallinear regression predictorregression superpopulation model

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Bayesian inference (62F15) Sampling theory, sample surveys (62D05)

Related Items (4)

Finding optimal estimators in survey sampling using unbiased estimators of zero ⋮ 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

Cites Work

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• Bayesian procedures for detecting a change in a sequence of random variables
• Prediction in finite population under error-in-variables superpopulation models
• Bayes and Minimax Procedures in Sampling From Finite and Infinite Populations--I
• Finite-population prediction under error-in-variables superpopulation models
• Optimal strategy and other problems in probability sampling

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