RT Generic
T1 Bootstrap for estimating the mean squared error of the spatial EBLUP
A1 Molina, Isabel
A1 Salvati, Nicola
A1 Pratesi, Monica
A2 Universidad Carlos III de Madrid. Departamento de Estadística, 
AB This work assumes that the small area quantities of interest follow a Fay-Herriot model withspatially correlated random area effects. Under this model, parametric and nonparametricbootstrap procedures are proposed for estimating the mean squared error of the EBLUP (EmpiricalBest Linear Unbiased Predictor). A simulation study compares the bootstrap estimates with anasymptotic analytical approximation and studies the robustness to non-normality. Finally, twoapplications with real data are described.
YR 2007
FD 2007-04
LK https://hdl.handle.net/10016/707
UL https://hdl.handle.net/10016/707
LA eng
LA eng
DS e-Archivo
RD 26 may. 2024