Model assisted survey estimation
We discuss two popular estimation methods that are often used in cluster and multistage sampling designs: Ratio and Regression estimation. The goal of these estimation methods is to make the estimation of a statistic of interest (e.g. mean) more efficient by using auxiliary variables. Inference is here not only using the inclusion probabilities anymore, but inference is being ‘assisted’ by the use of a statistical model. We introduce the idea of model-assisted inference.
- Lohr chapters 4, 7
- Stuart (1984) 71-90
Take home exercise (for week 44)
Catch up on readings and exercises. Review parts of lectures/exercises again that you found difficult.