Bootstrap mean squared error of a small-area EBLUP
By Wenceslao González-Manteiga, M. José Lombardía, Isabel Molina, Domingo Morales, Laureano Santamaría. 2008
149 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/55028c5344f7687fa82fecf0ed02afcfb2aa3977
How researchers see this paper
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In Statistics and Probability
- Domingo Morales
- M. José Lombardía
- Esther López-Vizcaíno
- Miguel Boubeta
- J. Rao
- Isabel Molina
- Liugen Xue
- Jae Kwang Kim
Citations in the corpus
- Small area estimation of poverty indicators (2010, unknown): “We therefore obtain a parametric bootstrap MSE estimator by following the bootstrap method for finite populations of González-Manteiga et al. (2008). This bootstrap method can be readily applied to other complex parameters not necessarily of the separable form as the FGT measures.”
- Multinomial-based small area estimation of labour force indicators* (2013, methodology): “In this paper we follow the resampling approach appearing in González-Manteiga et al. (2007, 2008a, 2008b) and Hall and Maiti (2006) to introduce a parametric bootstrap procedure.”
- Poverty mapping in small areas under a twofold nested error regression model (2017, methodology): “In the on-line supplementary material we describe an extension of the parametric bootstrap method for finite populations that was introduced by González-Manteiga et al. (2007, 2008) to the twofold nested error model (3)–(4).”
- Empirical best prediction under area-level Poisson mixed models (2016, methodology): “…of MSE are computationally expensive in practice, we consider the parametric bootstrap estimator introduced by González-Manteiga et al. (2007) and González-Manteiga et al. (2008a) in the context of logistic and normal mixed models and later extended by González-Manteiga et al. (2008b) to a…”