Small area prediction of proportions and counts under a spatial Poisson mixed model
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Small area prediction of proportions and counts under a spatial Poisson mixed modelFecha
2023-10-31Cita bibliográfica
Boubeta, M., Lombardía, M.J. & Morales, D. Small area prediction of proportions and counts under a spatial Poisson mixed model. Stat Methods Appl (2023). https://doi.org/10.1007/s10260-023-00729-7
Resumen
[Abstract]: This paper introduces an area-level Poisson mixed model with SAR(1) spatially correlated random effects. Small area predictors of proportions and counts are derived from the new model and the corresponding mean squared errors are estimated by parametric bootstrap. The behaviour of the introduced predictors is empirically investigated by running model-based simulation experiments. An application to real data from the Spanish living conditions survey of Galicia (Spain) is given. The target is the estimation of domain proportions of women under the poverty line.
Palabras clave
Small area estimation
Area-level models
Spatial correlation
Count data
Bootstrap
Living conditions survey
Poverty proportion
Area-level models
Spatial correlation
Count data
Bootstrap
Living conditions survey
Poverty proportion
Versión del editor
Derechos
Atribución 3.0 España
ISSN
1613-981X