Browsing GI-MODES - Artigos by Author "Pérez, Agustín"

Now showing items 1-4 of 4

    • Empirical best prediction of small area bivariate parameters 

      Dolores Esteban, María; Lombardía, María José; López Vizcaíno, María Esther; Morales, Domingo; Pérez, Agustín (Wiley-Blackwell Publishing Ltd, 2022)
      [Abstract]: This paper introduces empirical best predictors of small area bivariate parameters, like ratios of sums or sums of ratios, by assuming that the target unit-level vector follows a bivariate nested error regression ...

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

      Esteban, M. Dolores; Lombardía, María José; López Vizcaíno, María Esther; Morales, Domingo; Pérez, Agustín (Springer Science and Business Media Deutschland GmbH, 2023)
      [Abstract]: This paper investigates the small area estimation of population averages of unit-level compositional data. The new methodology transforms the compositions into vectors of Rm and assumes that the vectors follow ...

    • Small area estimation of expenditure means and ratios under a unit-level bivariate linear mixed model 

      Dolores Esteban, María; Lombardía, María José; López Vizcaíno, María Esther; Morales, Domingo; Pérez, Agustín (Taylor and Francis Group, 2022)
      [Abstract]: Under a unit-level bivariate linear mixed model, this paper introduces small area predictors of expenditure means and ratios, and derives approximations and estimators of the corresponding mean squared errors. ...

    • Small area estimation of proportions under area-level compositional mixed models 

      Dolores Esteban, María; Lombardía, María José; López Vizcaíno, María Esther; Morales, Domingo; Pérez, Agustín (Springer Nature, 2020-09)
      [Abstract]: This paper introduces area-level compositional mixed models by applying transformations to a multivariate Fay–Herriot model. Small area estimators of the proportions of the categories of a classification variable ...