ACQUISITION of KNOWLEDGE about:
1) Introduction to sample designs. Inference under a design versus inference under a model. Traditional direct and indirect sample estimators.
2) Sampling models at the level of small areas. Synthetic Post-stratified Estimator and Composite Estimator. Fay-Herriot area-level model. Model at the level of individuals with nested errors. EBLUP predictors.
3) Method and EB predictors. Extensions for categorical data models.