saery

saery: Small Area Estimation for Rao and Yu Model. A complete set of functions to calculate several EBLUP (Empirical Best Linear Unbiased Predictor) estimators and their mean squared errors. All estimators are based on an area-level linear mixed model introduced by Rao and Yu in 1994 (see documentation). The REML method is used for fitting this model.

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References in zbMATH (referenced in 30 articles )

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  1. Benavent, Roberto; Morales, Domingo: Small area estimation under a temporal bivariate area-level linear mixed model with independent time effects (2021)
  2. Burgard, Jan Pablo; Esteban, María Dolores; Morales, Domingo; Pérez, Agustín: Small area estimation under a measurement error bivariate Fay-Herriot model (2021)
  3. Guadarrama, María; Morales, Domingo; Molina, Isabel: Time stable empirical best predictors under a unit-level model (2021)
  4. Burgard, Jan Pablo; Esteban, María Dolores; Morales, Domingo; Pérez, Agustín: A Fay-Herriot model when auxiliary variables are measured with error (2020)
  5. Esteban, María Dolores; Lombardía, María José; López-Vizcaíno, Esther; Morales, Domingo; Pérez, Agustín: Small area estimation of proportions under area-level compositional mixed models (2020)
  6. Shiferaw, Yegnanew A.; Galpin, Jacqueline: Comparison of mean squared error estimators under the Fay-Herriot model: application to poverty and percentage of food expenditure data (2020)
  7. Morales, Domingo; Santamaría, Laureano: Small area estimation under unit-level temporal linear mixed models (2019)
  8. Hobza, Tomáš; Morales, Domingo; Santamaría, Laureano: Small area estimation of poverty proportions under unit-level temporal binomial-logit mixed models (2018)
  9. Sugasawa, Shonosuke; Kubokawa, Tatsuya; Rao, J. N. K.: Small area estimation via unmatched sampling and linking models (2018)
  10. Bilton, Penny; Jones, Geoff; Ganesh, Siva; Haslett, Steve: Classification trees for poverty mapping (2017)
  11. Boubeta, Miguel; Lombardía, María José; Morales, Domingo: Poisson mixed models for studying the poverty in small areas (2017)
  12. Benavent, Roberto; Morales, Domingo: Multivariate Fay-Herriot models for small area estimation (2016)
  13. Boubeta, Miguel; Lombardía, María José; Morales, Domingo: Empirical best prediction under area-level Poisson mixed models (2016)
  14. Morales, Domingo; Pagliarella, Maria Chiara; Salvatore, Renato: Small area estimation of poverty indicators under partitioned area-level time models (2015)
  15. Torabi, Mahmoud; Lele, Subhash R.; Prasad, Narasimha G. N.: Likelihood inference for small area estimation using data cloning (2015)
  16. Żądło, Tomasz: On longitudinal moving average model for prediction of subpopulation total (2015)
  17. Marhuenda, Yolanda; Morales, Domingo; del Carmen Pardo, María: Information criteria for Fay-Herriot model selection (2014)
  18. Morales, Domingo: Comments on: “Single and two-stage cross-sectional and time series benchmarking procedures for small area estimation” (2014)
  19. Pramanik, Santanu: Selection of prior for the variance component and approximations for posterior moments in the Fay-Herriot model (2014)
  20. Torabi, Mahmoud; Shokoohi, Farhad: Hierarchical Bayes estimation in small area estimation using cross-sectional and time-series data (2014)

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