Day 1: Sampling in space: design-based sampling strategies for estimating means and totals
9.15-9.45 Overview of course
9.45-10.30 Simple random sampling: Estimation of mean, proportion and total and their standard errors. The principle of the Horvitz-Thompson estimator. Confidence interval estimates. How to determine the required sample size?
11.00-12.15 Stratified simple random sampling: Stratification variables. Proportional and optimal allocation of sampling points.
13.15-15.00 Geographical stratification
15.30-17.15 Systematic random sampling: how to estimate the sampling variance?
Day 2: Sampling in space: model-assisted sampling strategies for estimating means and totals
9.00-10.30 Two-stage random sampling: how to select primary sampling units? How to estimate the sampling variance?
Relative efficiency. Discussion of other sampling design types brought up by the participants
11.00-12.15 Probability sampling in practice: pitfalls
13.15-15.00 Increasing precision by exploiting covariates: the regression estimator
15.30-17.15 Two-phase sampling for stratification and regression
Day 3: Sampling in space: model-based sampling strategies for mapping
9.00-10.30 Sampling on regular grids: optimization of grid spacing
11.00-12.15 Spatial coverage sampling
13.15-15.00 Latin Hypercube Sampling
15.30-17.15 Model-based sampling: optimization of sampling pattern for ordinary kriging and universal kriging
Day 4: Sampling in space and time for monitoring
9.00-10.30 Design-based versus model-based sampling strategies: fundamental differences; how to choose?
11.00-12.15 Design-based, model-based and hybrid sampling approaches . Basic types of space-time design: static-synchronous,
independent synchronous, serially alternating, rotational panel, supplemented panel
13.15-15.00 Sampling strategies for estimating the change of the mean
Estimating the change of the mean from static-synchronous space-time designs and from space-time designs with partial overlap
15.30-1715 Sampling strategies for regional trend monitoring: the hybrid approach
Design-based estimation of the trend of the mean
Day 5: Sampling in space and time for monitoring
9.00-10.30 Sampling strategies for regional trend monitoring: the hybrid approach
Hybrid prediction of the trend of the mean
11.00-12.15 Sampling strategies for regional trend monitoring: the pure model-based approach
13.15-15.00 Sampling strategies for estimating space-time means and totals: the pure design-based approach
15.30-1715 Wrapping up and discussion of sampling problems brought up by the participants