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Domain Mean Estimators Assisted by Nested Error Regression Models

2018
This paper introduces estimators of domain means assisted by nested error regression models. The new estimators are modifications of empirical best linear unbiased predictors that takes into account the sampling weights. They are obtained by summing up the model-based predicted values adjusted by a weighted sum residuals. The paper studies the sampling-
María Dolores Esteban   +2 more
openaire   +1 more source

Truncation Error Estimates for Refinement Criteria in Nested and Adaptive Models

Monthly Weather Review, 1989
Abstract Truncation error estimates are considered as criteria for fine-grid placement and movement in nested and adaptive finite-difference atmospheric models. A simple method for calculating the truncation error at any time during an integration is described.
openaire   +1 more source

NESTING ALGORITHM FOR DUAL-GRAPH ERROR PROPAGATION MODELS

Systems Engineering and Information Technologies, 2021
Fusheng Zhao   +3 more
openaire   +1 more source

EBLUPs Under Nested Error Regression Models

2020
Domingo Morales   +3 more
openaire   +1 more source

Empirical best linear unbiased predictors in multivariate nested-error regression models

Communications in Statistics - Theory and Methods, 2021
Tsubasa Itô, Tatsuya Kubokawa
exaly  

Small area estimation of average compositions under multivariate nested error regression models

Test, 2023
Maria Dolores Esteban   +2 more
exaly  

EBPs Under Two-Fold Nested Error Regression Models

2020
Domingo Morales   +3 more
openaire   +1 more source

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