Molina Marhuenda 2015 - sae Small Area Estimation
Routing Summary
Full capture of Molina & Marhuenda (2015), The R Journal 7(1): 81-98, plus one concept note (Bayesian FH, E112). 5 notes.
- Need paper summary and section map? → Molina Marhuenda 2015 - sae Small Area Estimation - Overview
- Need FH equations, EBLUP, shrinkage, REML, MSE, milk example? → Molina 2015 - Fay-Herriot Area-Level Model and EBLUP
- Need SAR(1) spatial or AR(1) spatio-temporal FH? → Molina 2015 - Spatial and Spatio-Temporal Fay-Herriot Models
- Need BHF unit-level or EB poverty estimation? → Molina 2015 - Unit-Level BHF Model and EB for Nonlinear Parameters
- Need hierarchical Bayes FH, logit, GVF, surprise maps? → Molina 2015 - Bayesian Fay-Herriot, Surprise Maps and Variance Functions (Concept Note)
Concept Map
| Concept | Note | Type | Depends On | Key Result |
|---|---|---|---|---|
| Fay-Herriot model | Molina 2015 - Fay-Herriot Area-Level Model and EBLUP | definition | Hierarchical Models | |
| EBLUP | Molina 2015 - Fay-Herriot Area-Level Model and EBLUP | theorem | FH | |
| SFH / STFH | Molina 2015 - Spatial and Spatio-Temporal Fay-Herriot Models | definition | FH | SAR(1) + AR(1) effects |
| BHF, EB | Molina 2015 - Unit-Level BHF Model and EB for Nonlinear Parameters | theorem | FH, Poststratification | Monte Carlo best predictor |
| HB FH, surprise map | Molina 2015 - Bayesian Fay-Herriot, Surprise Maps and Variance Functions (Concept Note) | concept | FH | full posterior, GVF |
Notes
- Molina Marhuenda 2015 - sae Small Area Estimation - Overview — CONTAINS: summary, E112 link, Source Map.
- Molina 2015 - Fay-Herriot Area-Level Model and EBLUP — CONTAINS: model, BLUP/EBLUP, fitting, MSE, milk example, Python REML.
- Molina 2015 - Spatial and Spatio-Temporal Fay-Herriot Models — CONTAINS: SFH, STFH, grape and spacetime examples.
- Molina 2015 - Unit-Level BHF Model and EB for Nonlinear Parameters — CONTAINS: BHF EBLUP, EB, Box-Cox poverty, Iowa example.
- Molina 2015 - Bayesian Fay-Herriot, Surprise Maps and Variance Functions (Concept Note) — CONTAINS: HB FH, logit, censored zeros, GVF, surprise map, PyMC sketch.
Sources
- Molina Marhuenda 2015 - sae An R Package for Small Area Estimation