GLS Estimation and Empirical Bayes Prediction for Linear Mixed Models with Heteroskedasticity and Sampling Weights : A Background Study for the POVMAP Project / van der Weide, Roy
Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: Washington, D.C : The World Bank, 2014Description: Online-Ressource (14 p)Additional physical formats: van der Weide, Roy: GLS Estimation and Empirical Bayes Prediction for Linear Mixed Models with Heteroskedasticity and Sampling Weights DOI: DOI: 10.1596/1813-9450-7028Online resources: Summary: This note adapts results by Huang and Hidiroglou (2003) on Generalized Least Squares estimation and Empirical Bayes prediction for linear mixed models with sampling weights. The objective is to incorporate these results into the poverty mapping approach put forward by Elbers et al. (2003). The estimators presented here have been implemented in version 2.5 of POVMAP, the custom-made poverty mapping software developed by the World BankPPN: PPN: 83498413XPackage identifier: Produktsigel: ZDB-1-WBA | ZDB-110-WBLNo physical items for this record
Reproduktion, 2014. (World Bank eLibrary) |2014||||||||||