This course explains and demonstrates the analysis of biological data with general linear models, generalized linear models, maximum-likelihood fitting of nonlinear models, and resampling techniques. Content is presented in a workshop format, so that students learn the application of computer analysis coincidentally with statistical concepts.
This course may not be repeated for credit.
Notes
- Offered during odd-even dated academic years.
Prerequisite(s)
- Familiarity with statistical inference, regression, and ANOVA-based experimental design (equivalent of Ecology 425) is required.
Sections
This course will be offered next in
Fall 2015.