1. Linear regression
2. Nonlinear regression
3. Generalized linear models
4. Quantitative risk assessment with stimulus-response data
5. Temporal data and autoregressive modeling
6. Spatially correlated data
7. Combining environmental information
8. Fundamentals of environmental sampling
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