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.

References in zbMATH (referenced in 10 articles )

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  1. Morales, Domingo; Pagliarella, Maria Chiara; Salvatore, Renato: Small area estimation of poverty indicators under partitioned area-level time models (2015)
  2. Żądło, Tomasz: On longitudinal moving average model for prediction of subpopulation total (2015)
  3. Morales, Domingo: Comments on: “Single and two-stage cross-sectional and time series benchmarking procedures for small area estimation” (2014)
  4. Marhuenda, Yolanda; Molina, Isabel; Morales, Domingo: Small area estimation with spatio-temporal Fay-Herriot models (2013)
  5. Chambers, Ray (ed.); Rao, J.N.K. (ed.); Morales, Domingo (ed.); Ugarte, María Dolores (ed.): Special issue on small area estimation (2012)
  6. Esteban, María Dolores; Morales, Domingo; Pérez, A.; Santamaría, Laureano.: Small area estimation of poverty proportions under area-level time models (2012)
  7. Kubokawa, Tatsuya; Nagashima, Bui: Parametric bootstrap methods for bias correction in linear mixed models (2012)
  8. Torabi, Mahmoud; Shokoohi, Farhad: Likelihood inference in small area estimation by combining time-series and cross-sectional data (2012)
  9. Wang, Jianqiang C.; Holan, Scott H.; Nandram, Balgobin; Barboza, Wendy; Toto, Criselda; Anderson, Edwin: A Bayesian approach to estimating agricultural yield based on multiple repeated surveys (2012)
  10. Rao, J.N.K.; Yu, Mingyu: Small-area estimation by combining time-series and cross-sectional data (1994)