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Advanced Sampling

The objective of the course is to introduce more advanced sampling theory, with a focus on methods suitable for environmental inventories and monitoring. Balanced and spatially balanced sampling will be introduced, as well as general model-assisted estimation. These techniques are used to integrate auxiliary information from registers or remote sensing into the sampling strategy to improve the estimation of population parameters. The course is built on lectures, exercises and computer exercises. Exercises and computer exercises are mandatory.

Content:
• Sampling from continuous populations (mainly area frames)
• Ways to use auxiliary information to improve a sampling strategy
• Balanced sampling
• Spatially balanced sampling
• Model-assisted estimation
• Estimation of change
• Basic methods for sample coordination

Extent:
4 credits

Prerequisites
Sampling, 4hp and Statistics, 10 hp or similar.
Admitted to a Ph.D. program at SLU.

If you are not a Ph.D. student or not at SLU, contact Anton.Grafstrom@slu.se to check the availability of places in the course.

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