Robust Linear Prediction in Finite Populations

DOI10.2307/1402589zbMath0549.62007OpenAlexW2325366210WikidataQ58636110 ScholiaQ58636110MaRDI QIDQ3341657

Josemar Rodrigues, Carlos Alberto de Bragança Pereira

Publication date: 1983

Published in: International Statistical Review / Revue Internationale de Statistique (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/1402589

zbMATH Keywords

linear modelssurvey samplingbest linear predictorsuperpopulation approachbalanced sampleoverbalanced samplerobustness of linear predictorsxi-model

Mathematics Subject Classification ID

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

Related Items (11)

A note on the missing value principle and the EM-algorithm for estimation and prediction in sampling from finite populations with a multinormal superpopulation model ⋮ The coordinate-free estimation in finite population sampling ⋮ Quadratic prediction problems in finite populations ⋮ Some asymptotic results in finite populations ⋮ Admissible prediction in superpopulation models with random regression coefficients under matrix loss function ⋮ On quadratic prediction problems in finite populations ⋮ Asymptotically design-unbiased predictors for two-stage sampling ⋮ Optimal prediction in finite populations under matrix loss ⋮ Quadratic prediction problems in multivariate linear models ⋮ Admissible Linear Predictors in the Superpopulation Model with Respect to Inequality Constraints ⋮ Permutation Matrix with Application to Optimal Invariant Quadratic Prediction in Finite Populations

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