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- W1604975694 abstract "This work assumes that the small area quantities of interest follow a Fay-Herriot model with spatially correlated random area effects. Under this model, parametric and nonparametric bootstrap procedures are proposed for estimating the mean squared error of the EBLUP (Empirical Best Linear Unbiased Predictor). A simulation study compares the bootstrap estimates with an asymptotic analytical approximation and studies the robustness to non-normality. Finally, two applications with real data are described." @default.
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- W1604975694 date "2007-04-01" @default.
- W1604975694 modified "2023-09-27" @default.
- W1604975694 title "Bootstrap for estimating the mean squared error of the spatial EBLUP" @default.
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