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Small area estimation of average compositions under multivariate nested error regression models
(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 ...
Poverty Mapping Under Area-Level Random Regression Coefficient Poisson Models
(Oxford University Press, 2023-11)
[Abstract]: Under an area-level random regression coefficient Poisson model, this article derives small area predictors of counts and proportions and introduces bootstrap estimators of the mean squared errors (MSEs). The ...
Small area prediction of proportions and counts under a spatial Poisson mixed model
(Springer Nature, 2023-10-31)
[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 ...
Simultaneous Inference for Empirical Best Predictors With a Poverty Study in Small Areas
(Taylor and Francis Group, 2023-01)
[Abstract]: Today, generalized linear mixed models (GLMM) are broadly used in many fields. However, the development of tools for performing simultaneous inference has been largely neglected in this domain. A framework for ...