The tutorial will introduce different types of statistical methods for the analysis of survey data to produce estimates for small domains (sometimes termed ‘small areas’). This will include design-based estimators, that are only based on the study design and observed data, and model-based estimators, that rely on an underlying model to provide estimates. The tutorial will cover frequentist and Bayesian inference for Small Area Estimation. All methods will be accompanied by several examples that attendants will be able to reproduce.
This tutorial will be roughly based on the tutorial presented at useR! 2008 but will include updated materials. In particular, it will cover new R packages that have appeared since then.For details, refer to tutorial description.