This is a course in statistical modeling for ecologists. Topics include the following.
- Basic concepts in regression
- Standard statistical designs for experiments: analysis of variance, analysis of covariance, and split plot designs
- Bayesian approach to statistics
- Mixed effects models: random intercepts and slopes models, multilevel models with 2 and 3 levels, hierarchical Bayesian modeling, nonlinear mixed effects models, models with nested and crossed random effects
- Maximum likelihood estimation
- Analysis of binary and grouped binary data
- Analysis of count data
